Colombia’s 2012 Tax Reform Poverty and Social Impact Analysis November 2014 1 CONTENTS Figures ...................................................................................................................................iii Tables ....................................................................................................................................iii Boxes......................................................................................................................................iii List of Abbreviations and Acronyms .................................................................................iv Acknowledgements ..............................................................................................................v Executive Summary .............................................................................................................vi 1 Introduction ..................................................................................................................1 2 Colombia’s Political Economy Context ......................................................................2 2.1 Poverty and Inequality in Colombia .................................................................4 2.2 Value Added Tax and the New Alternative Income Tax ..................................7 3 Analysis of the Distributional Impact of Colombia’s Tax Reform ..........................11 3.1 Analysis of the New Alternative Income Tax based on a Constructed Income Distribution ................................................................................................................11 3.2 Analysis of the Impact of the Value Added Tax on the Distribution of Consumption 12 3.3 Analysis of the Impact of the Income Tax for Equity on the Labor Market ....14 4. Results............................................................................................................................17 4.1 New Alternative Income Tax (IMAN) .............................................................17 4.2 VAT Analysis ...................................................................................................18 4.3 Effects of the Tax Reform on Informality and Employment—Results ............26 5 Conclusion .....................................................................................................................28 References .............................................................................................................................30 Annexes .................................................................................................................................34 ii Figures Figure 1: Impact of fiscal policy on the Gini coefficient, 2010 ................................................... 6 Figure 2: GEIH + administrative income tax data (DIAN)........................................................ 12 Figure 3: At the national level, the bottom 40 percent benefits from the changes to the VAT code 19 Figure 4: Absolute incidence (national) of VAT on processed food ............................................ 20 Figure 5: Under the no-tax-evasion scenario, the incidence of the changes to the VAT related to unprocessed food is expected to be regressive ............................................................................. 20 Figure 6: The tax incidence is marginally regressive under the some-tax-evasion scenario ........ 21 Figure 7: In the case of prepaid medicine, the cash gain is concentrated in the higher expenditure deciles ........................................................................................................................................... 22 Figure 8: At the national level, the absolute incidence of the VAT on prepaid medicine is highly regressive ...................................................................................................................................... 22 Figure 9: With regard to leisure services, wealthier households are expected to bear most of the related tax burden .......................................................................................................................... 22 Figure 10: Under the no-tax-evasion scenario, the approved changes to the VAT are overall slightly regressive ......................................................................................................................... 23 Figure 11: Under the some tax evasion scenario, the approved changes to the VAT are overall slightly progressive ....................................................................................................................... 24 Figure 12: For the absolute incidence, the reform is expected to be progressive at the national level ............................................................................................................................................... 24 Figure 13: Unprocessed food exemptions mitigate the distributional impact of tax reform ........ 25 Figure 14: Transfers targeted to the poorest groups strengthen the progressivity of reforms ...... 26 Tables Table 1: Income tax brackets prior to the 2012 reforms ............................................................. 8 Table 2: Overview of the 2012 Colombia tax reform ............................................................... 10 Table 3: Gini coefficient (income as living standard measure) ................................................ 17 Table 4: Fiscal collection (income as living standard measure) (billions of COP) .................. 17 Table 5: Gini coefficient (consumption as living standard measure) ....................................... 18 Table 6: Fiscal collection (consumption as living standard measure) (billions of COP) ......... 18 Table 7: Fiscal reform effects on employment and earnings (% change with respect to benchmark) ................................................................................................................................... 27 Boxes Box 1: Adjusting for Missing Income and Expenditure under IMAN and LATAX Simulations 13 Box 2: Effects of the Fiscal Reform on Labor Markets ............................................................. 16 iii List of Abbreviations and Acronyms CEQ Commitment to Equity Assessment COP Colombian pesos CREE Impuesto sobre la Renta para la Equidad (Income Tax for Equity) DANE Departamento Administrativo Nacional de Estadística (National Bureau of Statistics) DIAN Dirección de Impuestos y Aduanas Nacionales (Tax and Customs Revenue Authority) DNP Departamento Nacional de Planeación (National Planning Ministry) DPL Development Policy Loan ENCV Encuesta Nacional de Calidad de Vida (National Quality of Life Survey) FDI Foreign direct investment GDP Gross domestic product GEIH Gran Encuesta Integrada de Hogares (Great Integrated Household Survey) GoC Government of Colombia ICBF Instituto Colombiano de Bienestar Familiar (National Welfare Institute) IMAN Impuesto Mínimo Alternativo Nacional (Alternative Income Tax) LAC Latin America and the Caribbean MESEP Misión para el Empalme de las Series de Empleo, Pobreza y Desigualdad (Mission for the Splicing of Employment, Poverty and Inequality Series) MHCP Ministerio de Hacienda y Crédito Público (Ministry of Finance and Public Credit) PSIA Poverty and Social Impact Analysis SENA Servicio Nacional de Aprendizaje (National Training Institute) SPCI Shared Prosperity Convergence Index UVT Unidad de Valor Tributario (Tax Value Unit) VAT Value-added tax iv Acknowledgements This report was led by Carlos Rodríguez-Castelán and Luis-Felipe López-Calva. The core team included Arturo Antón-Sarabia, Lea Gimenez, Tania Diaz Bazan, Mary Alexander Sharman and Daniel Valderrama Gonzalez. The team thanks Paloma Anos-Casero, Louise Cord, Barbara Cunha, Samuel Freije Rodríguez, Gabriela Inchauste and Nora Lustig for comments to different versions of this report. The work was conducted under the general guidance of Louise Cord (Sector Manager, LCSPP) and Samuel Freije-Rodríguez (Lead Economist and Sector Leader, LCSPR). v Executive Summary Colombia is the 7th most unequal country in the world, with a Gini coefficient similar to that of Haiti, South Africa, and Angola.1 Within the Latin American and Caribbean (LAC) region—traditionally the most unequal in the world—Colombia ranks third.2 Furthermore, while most countries in the region experienced a decrease in inequality over the past two decades, Colombia’s inequality levels remained largely unchanged. Colombia has had little success in decreasing inequality through fiscal policy. While many LAC countries have passed progressive fiscal reforms and implemented conditional cash transfer programs, Colombia has lagged behind. Fiscal policy, in particular, remains an underutilized inequality-reducing tool in Colombia. To illustrate, consider that Brazil and Colombia have similar Gini index levels for market income (pre-tax income from wages and capital), yet when we take into account taxation and direct transfers, Colombia’s Gini coefficient is 0.028 higher than Brazil’s. In December 2012, the Government of Colombia (GoC) passed a set of tax reforms designed to improve the impact of fiscal policy on inequality and poverty reduction. Among the key reforms is a new income tax system known as IMAN, which is intended to shift the income tax burden by increasing the tax levied on the top 0.6 percent of the population while providing partial tax relief to the rest of the population. The IMAN was conceived as a fiscal mechanism to significantly improve the distribution of wealth within the country. Similarly, the CREE corporate tax on capital-intensive industries was introduced with the parallel goals of improving wealth distribution and encouraging job growth. Another key component of the 2012 tax reform is the simplification and streamlining of the VAT system. In particular, by creating more exemptions and decreasing the administrative costs associated with the tax —in addition to introducing a luxury tax component—the objective is to make the VAT less regressive. With the 2012 tax reform, the GoC sought to improve the impact of fiscal policy without decreasing government revenues. More specifically, the GoC’s goal was to keep the tax reform revenue neutral while lowering the income tax rate of 99.4 percent of the population. The rationale was that by increasing the income tax rate on the top 0.6 percent of the population as well as increasing corporate taxes and introducing a luxury tax, the net reduction in fiscal revenues resulting from the broader decrease in income tax rates would be minimized. Additionally, reducing the administrative costs of the VAT implementation would further boost net revenues. As stipulated in the Development Policy Loan awarded to the GoC in 2013, a Poverty and Social Impact Analysis (PSIA) to measure the impact of Colombia’s 2012 tax reform on 1 World Bank 2012a. 2 World Bank 2013b. vi inequality, government revenues, and the labor market was conducted by the World Bank. This report summarizes the results of the PSIA and explains the three analyses used to determine the impact of the tax reform. The first analysis integrates data from administrative tax records with household statistics from the Gran Encuesta Integrada de Hogares (GEIH) conducted by the Departamento Administrativo Nacional de Estadística (DANE) to correct for the problem of underrepresentation of high-income households that is typical of household surveys. The second analysis, which is based on consumption data from the Encuesta de Calidad de Vida (ENCV) also conducted by DANE, follows the LATAX micro-simulation technique and focuses on the effect of taxes on income distribution and on government revenues on the assumption that individuals’ purchasing habits remain the same. The third analysis uses a general equilibrium model of the labor market to estimate the impact of the tax reforms on the labor market and, in particular, on informality. The first analysis shows that the effects of Colombia’s income tax reform serve the intended purpose of reducing income inequality. Results based on the constructed full income distribution, which uses administrative tax records and household survey data, indicate that the Gini coefficient decreases from 0.586 to 0.579. Considering that the average yearly reduction of the Gini coefficient in Latin America over the last 10 years was 0.51 percentage points, the estimated reduction in Colombia’s Gini coefficient is not trivial. These results also demonstrate the importance of using the full income distribution to calculate true inequality in a country. At the national level, changes to the VAT code are expected to have only a modest impact on inequality and tax revenues, and practically no impact in terms of their incidence. Assuming no tax evasion, the approved changes to the VAT code are expected to be marginally regressive. However, if we assume some tax evasion, the approved changes to the VAT code are expected to be progressive in rural areas and marginally regressive in urban areas, with an overall progressive effect at the national level. Finally, the analysis of the impact of the 2012 tax reform on the labor market shows that achieving the goal of job creation is likely. The decrease in other labor taxes will contribute to the main objective of job creation and the overall level of employment is anticipated to rise as a result of the tax reform. vii 1 Introduction In 2013, the World Bank granted a $600 million Development Policy Loan (DPL) to the Republic of Colombia. This operation aims to enhance Colombia’s fiscal capacity and promote shared prosperity by focusing on six strategic policy areas: (1) devising a more equitable tax policy and administration; (2) promoting inter-regional equity and broadening local revenue sources; (3) implementing a more equitable social spending system; (4) fostering gender equality; (5) providing open access to national financial management and information systems; and (6) monitoring poverty and other social indicators. The evaluation of Colombia’s 2012 fiscal reform (the present PSIA) was stipulated in the DPL agreement between the World Bank and the GoC. This report summarizes the findings of the analysis and provides an assessment of the distributive impact of Colombia’s 2012 tax reform. Aligned with the World Bank’s Colombia CPS FY12–16 (Report No. 60620-CO, discussed by the Board of Executive Directors on July 21, 2011), the DPL is specifically focused on inclusive growth and enhanced productivity (strategic theme #3) and seeks to advance toward the stated long-term goal of “improved public sector management and equity and efficiency of economic policies.” The objective of the DPL is to support the GoC in improving fiscal, territorial, and gender equity through specific actions in targeted policy areas while enhancing access to information and accountability in public spending. This is consistent with the three pillars of the GoC’s National Development Plan: (1) sustainable growth and competitiveness, (2) equality of opportunities for social prosperity, and (3) consolidation of peace. This report is intended for use by policy analysts interested in fiscal policy and, in particular, tax reforms. The report relies on three different methodologies to study the potential impacts of the recent tax reforms in Colombia, allowing for an evaluation of the robustness of the results as well as an examination of the variation in results due to methodological and measurement issues. The potential impacts considered in the analyses include the reforms’ effects on income inequality, poverty, employment, and revenue collection. The first analysis integrates data from tax records with household survey data, ensuring that those segments of society that may not be captured in household surveys are included in the assessment. This is particularly important given that the right end of the income distribution, or the wealthiest segment of society, is not accurately represented in household surveys. Thus, capturing this segment of the population allows for a more complete analysis of the effects of Colombia’s 2012 tax reform on government revenues and inequality. The second analysis examines the likely behavioral impacts of the tax reform. Using LATAX micro-simulations, the methodology applied in this analysis allows us to examine the 1 distributive impact of the recent tax reforms. Moreover, the micro-simulation also allows for an assessment of the reforms’ potential effects on government revenues. The third analysis focuses on the impact of the 2012 tax reform on the labor market. While the changes in Colombia’s taxation system will have a direct bearing on government revenues and the distribution of wealth, it is important to note that the 2012 tax reform could also have substantial spillover effects on the labor market. By modeling the preferences of workers utilizing a general equilibrium framework, this analysis seeks to capture some of the likely spillover effects. The present PSIA report is organized into five sections. Following the introduction, section 2 provides an overview of the political economy environment that ultimately led to Colombia’s 2012 tax reform. Section 3 describes the methodologies applied in the analysis of the tax reform’s distributive impact. Section 4 presents the main findings, and the final section concludes with a summary analysis and brief assessment of possible areas for further research. 2 Colombia’s Political Economy Context Colombia’s strong economic performance and resilience to global shocks in recent years can be attributed to a favorable external environment combined with sound policy management. Relatively low trade openness and limited inclusion in global financial markets insulated Colombia from the recent international economic crisis. At the same time, the country’s strong macroeconomic framework, coupled with a robust financial sector and appropriate regulatory responses, created an additional cushion against external shocks and paved the way for economic expansion. Benefiting from high commodity prices, the economy recovered from the 2008–09 global economic crisis after only two quarters, much faster than the regional average of six quarters.3 Although growth slowed from 6.6 percent in 2011 to 4.0 percent in 2012, it remained relatively strong—above the regional average of 3.6 percent and close to the global emerging markets rate of 5.5 percent.4 The 2012 economic deceleration was the combined result of weak external demand (lower commodity prices), unforeseen supply shocks (disruptions in coal production), slow execution of public investment, and a drop in manufacturing and retail sales. 3 World Bank 2012a. 4 DANE 2012, IMF 2011. 2 The Central Bank has maintained a loose monetary policy in response to lower-than- potential GDP. Since August 2012, the interest rate has been reduced by 200 basis points, reaching 3.25 percent in April 2013. This process followed a period of tightened monetary policy during which the interest rate was gradually raised (by 225 basis points since early 2011) to reduce the risk of overheating. Inflation reached the lower bound of the target band (2 percent) in May 2013, increasing slightly to 2.2 percent the following month. In 2012, Colombia exhibited a strong fiscal performance, due in part to the increased tax revenues generated by recent (pre-2012) tax reforms and favorable oil prices. The combined public sector deficit dropped from −2 percent in 2011 to 0.3 percent in 2012, while the primary balance increased from 0.8 to 2.9 percent of GDP in the same period. This, in turn, contributed to a decline in the public debt ratio from 36.0 to 32.7 percent of GDP.5 The main driver was a strong increase in the central Government’s tax-to-GDP ratio, which rose by one percentage point, reaching 14.5 percent in 2012.6 The boom in imports and exports that took place at the end of 2011 widened the current account deficit, but the balance of payments, backed by net FDI inflows, remained strong as of the end of 2012. The strong demand for investment-related imports and large profit repatriation by foreign firms was more than offset by net foreign direct investment (FDI) inflows, keeping the current external account slightly above 2011 levels. Gross FDI flows—most of which originated in the oil and mining sector—increased by more than 10 percent in 2012, to US$15 billion (4 percent of GDP), and will probably sustain Colombia’s 0.8 percent share of global FDI. The Colombian peso’s appreciation cycle seems to have halted, with nominal values currently approaching early 2012 levels. While in recent years the Colombian peso (the nominal as well as the real effective rate) has grown gradually stronger in response to significant capital inflows (primarily FDI) and increases in government spending, amidst high volatility the peso depreciated to an average of 1,907 Colombian pesos (COP) per US dollar by June 2013— about the same as in early 2012. The nominal depreciation has been partially driven by lower interest rates and continued currency purchases by the Central Bank. At the same time, the flexible exchange rate has exhibited substantial volatility, acting as a shock absorber in times of global economic crises and uncertainty. In sum, Colombia’s economic performance remains robust amid an uncertain external environment. Given the softer external demand, sound policies have supported positive outcomes. Fiscal consolidation reduced the sovereign risk premium, strengthened the economy’s resilience to external shocks, and enhanced the countercyclical power of fiscal and monetary policy. Colombia currently has one of the lowest Emerging Market Bond Index (EMBI) spreads 5 IMF 2011. 6 DIAN 2012. 3 in the region. The country also exhibits solid liquidity management, as evidenced by rapid reserve accumulation, and has tapped international markets for external financing at favorable terms. 2.1 Poverty and Inequality in Colombia During the last decade, economic growth in Colombia has been accompanied by a decline in poverty. Between 2002 and 2012, moderate poverty fell from 49.4 to 32.7 percent, while extreme poverty declined from 17.6 to 10.4 percent. Even so, given the country’s economic performance, the rate of poverty reduction in Colombia between 2003 and 2011 was relatively moderate—it was lower than that achieved by regional peers like Brazil, Costa Rica, and Mexico, yet higher than that of other LAC countries such as the Dominican Republic, Panama, Paraguay, and Peru. The relatively high level of poverty accompanied by relatively high per capita income7 is partly explained by Colombia’s unequal distribution of income. Between 2005 and 2010, the primary driver of poverty reduction in Colombia was economic growth, with a relatively lower contribution from government redistribution. By contrast, in the LAC region as a whole, over the same period falling inequality was responsible for about 40 percent of poverty reduction, on average.8 For Colombia, this trend only surfaced after the reduction in inequality that took place between 2010 and 2012. Colombia’s less well-off population has benefited more from growth than the average person. From 2010 to 2011, real income per capita of the bottom 40 percent —the World Bank’s indicator of shared prosperity—grew at 8.1 percent, while the mean growth rate of per capita income for the population as a whole was 3.3 percent. Moreover, from 2003 to 2011 the annual income growth rate of the bottom 40 percent of Colombia’s population was 5.1 percent, higher than the LAC regional average of 4.8 percent. Relative to its LAC peers, Colombia is also performing well in terms of convergence to the global top performers in Amartya Sen’s welfare index, a measure of a society’s overall welfare. This indicator of convergence, also known as the Shared Prosperity Convergence Index (SPCI),9 shows that in the past year, while LAC as a region has performed below par, Colombia converged at a much faster rate (a 7.3 percent improvement on the index compared to LAC’s average of 4.3 percent).10 Colombia’s faster pace of convergence can be attributed to higher rates of economic growth and a recent reduction in income inequality. Similar to the LAC experience, poverty reduction in Colombia was driven primarily by 7 US$10,110 in GNI per capita (PPP, current international US$) in 2012. World Bank 2013b. 8 Azevedo et al. 2012. 9 Sen’s welfare index is calculated as the product of GDP per capita and the difference between 1 and the country’s Gini coefficient. The Shared Prosperity Convergence Index (SPCI) is a country’s gap with respect to the top ten performers in Sen’s welfare index in the year 2000. 10 World Bank 2013b. 4 increases in labor income and a greater participation of household members in the labor market. The increase in labor income explains approximately 50 percent of changes in poverty, with females’ higher earnings responsible for 30 (28) percent and males’ higher earnings for 51 (51) percent of the decline in moderate (extreme) poverty, whereas the share of occupied household members explains about 32 and 28 percent of the variation in moderate and extreme poverty, respectively.11 In other words, nearly 80 percent of the poverty decrease is due to changes in labor market income and participation. The expansion of well-targeted public transfers was effective in terms of reducing poverty in Colombia. The change in moderate and extreme poverty was −28 and −19 percent, respectively, more so than the associated change experienced in LAC, which was −23 and −13 percent, respectively.12 These patterns suggest that the expansion of safety nets that took place over the past decade was both well targeted and effective in terms of reducing poverty, and in particular extreme poverty. Despite robust economic growth and decreasing poverty rates, Colombia remains the 7th most unequal country in the world, with a rate of inequality similar to that of Haiti, South Africa, and Angola, and 2nd when compared to regional and upper-middle income countries. Over the course of the 1990s and 2000s, Colombia did not experience the same level of inequality reduction as its LAC neighbors, falling significantly short. Such high levels of inequality can hinder economic growth and poverty reduction (growth elasticity of poverty). To illustrate, consider that despite strong growth during the past decade, the share of total income belonging to the lowest decile in Colombia continues to be around 1 percent of total income, while well over 40 percent of total income is controlled by the top decile. The persistently high level of income inequality observed in Colombia is linked to pronounced labor income inequality. The latter is explained by high intra- and inter-generational mobility and the fact that the poor suffer a disproportionally negative impact from the prevailing labor market constraints and arrangements. To address the country’s high inequality levels, the GoC announced a new national development plan called Prosperidad para Todos.13 This plan calls not just for sustainable economic growth, but for growth conducive to positive distributional and social effects throughout Colombian society. This objective falls in line with the World Bank’s twin goals of achieving economic growth among the bottom 40 percent of the income distribution, or shared prosperity, and the eradication of absolute poverty by the year 2030. One of the principal objectives of Prosperidad para Todos is to make fiscal policy more progressive—Colombia’s fiscal policy compares unfavorably to that of other LAC 11 Ibid. 12 Ibid. 13 DNP 2010. 5 countries in terms of its impact on wealth redistribution. Prior to the 2012 tax reform, fiscal policy was a largely untapped tool in Colombia for attaining a more equitable income distribution. For instance, Brazil, which had approximately the same level of inequality as Colombia (measured by the Gini index) before taxes and transfers in 2010, registered much lower inequality in the same year based on final income (Figure 1). In an effort to address the issue, the GoC passed a set of laws in December 2012 aimed at making the country’s tax code more progressive and pro-poor. Figure 1: Impact of fiscal policy on the Gini coefficient, 2010 Source: Higgins and Pereira (2014), Scott (2014), Jaramillo (2014), Lustig and Meléndez (2014). ©The CEQ Compendium of Indicators presented here is the property of the Tulane Educational Fund and the Inter-American Dialogue. Note: The figure shows the Gini coefficients calculated using each of the five CEQ income definitions (For a complete overview of the methodology, see Lustig and Higgins (2012)) using 2009 data in every country except for Mexico, which is 2010. Dashed lines represent the change in Gini coefficient attributed to in-kind transfers, which unlike the other income definitions in CEQ are based on a non-cash transfer. Using the Commitment to Equity (CEQ) framework, Lustig et al. find that Colombia’s 2012 tax reform will result in a marginal decline in income inequality.14 In particular, their analysis shows that the tax reforms will lead to a decrease in the nation’s Gini coefficient from 0.574 to 0.567. However, this result likely underestimates the impact of the tax reforms on 14 Lustig et al. 2012. 6 inequality reduction given its reliance on household survey data, which does not fully capture the high end of the income distribution.15 Although better economic conditions and demographics have increased labor market participation by more than half a million people, Colombia’s unemployment rate—10.4 percent in 2012—is still one of the highest in the region.16 With such a high unemployment rate, the Colombian labor markets continue to be characterized by pervasive labor informality. Depending on the definition used, 50 to 60 percent of the labor force is engaged in informal employment.17 For the extremely poor, income-generating opportunities are very limited, and the unemployment rate of this segment of the population is close to 35 percent. When the extremely poor are able to work, their jobs tend to be in the low-productivity informal sector and they face a low probability of moving into better jobs.18 High minimum wages and labor costs, misperceptions about social security benefits, skill mismatches between labor supply and demand, and weak labor intermediation systems help explain these poor labor market outcomes in Colombia.19 2.2 Value Added Tax and the New Alternative Income Tax Colombia’s December 2012 tax reform focused on changing the distributional impact of both direct and indirect taxes. This reform introduced four key changes in Colombia’s tax code: (1) a modification of the income tax; (2) the creation of a new corporate tax; (3) the simplification of the value added tax (VAT); and (4) the introduction of a luxury tax. These four changes seek to enhance the progressive nature of the government’s current fiscal policy, with the aim of rendering the distribution of wealth in Colombia more equitable while maintaining the same level of government revenues. The new alternative income tax, Impuesto Mínimo Alternativo Nacional (IMAN), increases income tax rates for the top 0.6 percent of earners while simultaneously lowering the rate for the remaining 99.4 percent of the population. Prior to the 2012 tax reform, the population was divided into four different tax brackets based on income level (see Table 1). For instance, individuals with annual incomes above 1,090 and below 1,700 UVT (Unidad de Valor Tributario) paid the surplus between the rent and 1,090 UVT.20 The IMAN creates more tax brackets to make the direct tax system more progressive (see Annex 1). Additionally, the tax reform reduces payroll taxes to alleviate the tax burden on the labor sector and provide 15 The wealthier segments of the population are often underrepresented in household surveys due to underreporting, missing responses, or sampling reasons; hence, this analysis does not accurately capture the increase in income taxes for the top 0.6 percent of the income distribution (IMAN). See also Santa María et al. 2009. 16 DANE 2013. 17 A thorough analysis of informality in Colombia and its links to social policies is found in World Bank 2010. 18 Santa María et al. 2009. 19 World Bank 2005. 20 The Unidad de Valor Tributario (UVT) is the Tax Value Unit assigned by DIAN. In 2010, the value of the UVT was 24,555 COP. 7 incentives for corporations to increase hiring. According to the GoC, this reduction is expected to create between 400,000 and 1 million new jobs in the formal sector. Table 1: Income tax brackets prior to the 2012 reforms Marginal Tax Rank in UVT Rank in 2010 COP Tax Calculation Rate From To From To - 1,090 - 26,764,950 0% 0 19% over (rent – 1,090 1,700 26,764,950 41,743,500 19% $26,764,950) 28% over (rent – 1,700 4,100 41,743,500 100,675,500 28% $41,743,500) + $2,848,380 33% over (rent – 4,100 4,100+ 100,675,500 100,675,500+ 33% $100,675,500) + $19,349,349 Source: Estatuto Tributario Nacional 2013. Some differences existed between the proposed and the approved tax reform, especially with regard to the treatment of high incomes. In Colombia, there are 4.6 million income tax payers, of which 1.1 million file their taxes through a tax declaration while the others do it through tax withholdings. According to the Dirección de Impuestos y Aduanas Nacionales (DIAN), prior to the reform, the people at the high end of the income distribution paid an effective tax rate of about 5 percent. The IMAN proposal considered a gradual tax rate from 0 percent for annual incomes below 1,200 UVT to 15 percent for incomes above 12,217 UVT. However, the approved tax reform set the tax rate from 0 percent for annual incomes under 1,548 UVT up to 27 percent for incomes higher than 13,643 UVT. Further details about the gradual tax rates can be found in Annex 1. The IMAN uses a revised definition of “employee” in order to allow the self-employed to present a declaration. Prior to the reform, only wage-earners were considered employees (through their employment contract). In addition to professionals with employment contracts, the tax reform (Law 1607, 2012) makes eligible those whose labor income accounts for at least 80 percent of their total income. In order to expand the redistributive effects of Colombia’s tax reform, the VAT was restructured and a luxury tax was introduced. The reform streamlined the VAT with the aim of decreasing the administrative and compliance costs associated with this tax. The VAT restructuring and the new luxury tax were designed to boost the redistributive impact of Colombia’s tax policies while simultaneously substituting for government revenue lost through changes in the income tax structure. Prior to the reform, there were seven VAT tax rates: 0 8 percent, 1.6 percent, 10 percent, 16 percent, 20 percent, 25 percent, and 35 percent. In order to simplify this complex system, the government proposed to use three rates instead of seven, eliminating the tax rates of 1.6 percent, 10 percent, and all those above 20 percent, while creating a new tax rate of 5 percent. The luxury tax was created to complement the VAT tax of 16 percent for the goods previously taxed at 20, 25, and 35 percent. Table 2 summarizes the status quo as well as the proposed and approved tax reform for the VAT tax rate and the IMAN. As indicated in the table, both the proposed and approved IMAN reform focused on increasing the tax rate for high incomes while also lowering the threshold for low incomes. In terms of the VAT, the differences are not significant except for those applied to prepaid medicine. A new corporate tax (Impuesto sobre la Renta para la Equidad, CREE) was also introduced with the goal of shifting the income tax burden from labor to capital. The reform earmarked the revenues from this tax to finance programs at the National Training Institute (Servicio Nacional de Aprendizaje, SENA), the National Welfare Institute (Instituto Colombiano de Bienestar Familiar, ICBF), and the health system. The CREE was also designed to shift the burden of financing these so-called parafiscales from companies in labor-intensive industries to those in highly profitable and capital-intensive industries (such as oil and gas). As noted earlier, a stipulation on the DPL awarded to the GoC was that a Poverty and Social Impact Analysis (PSIA) of the 2012 tax reform should be conducted by the World Bank. The main purpose of this report is to summarize the main findings of the PSIA. The following sections describe the methodologies utilized and the results of the analysis. 9 Table 2: Overview of the 2012 Colombia tax reform Item Status-quo 2012 tax reform proposed by the Executive 2012 tax reform approved by the Congress power 1. Income tax: personal 4 tax brackets based Creation of the IMAN. Gradual tax rate Creation of the IMAN. Gradual tax rate income tax (IMAN) on income level adjustment from 0% for annual income below adjustment from 0% for annual income below 1,200 UVT to 15% for incomes above 12,217 1,548 UVT to 27% for incomes above 13,643 UVT. Change in “employee” definition. Changes UVT. Change in “employee” definition. Changes in deductions. in deductions. 2. VAT tax rate 7 different tax rates: Eliminate specific tax rates: 1.6%, 10%, 20, Eliminate specific tax rates: 1.6%, 10%, 20, 0%, 1.6%, 10%, 16%, 25%, and 35%. Create a new tax rate of 5%. 25%, and 35%. Create a new tax rate of 5%. 20%, 25%, and 35% Create a luxury tax. Create a luxury tax. 2.a. Vegetables, nuts Exempt Taxed by 16% Taxed by 16% 2.b. Sugar cane, coffee Taxed by 10% Exempt Exempt husks, bread 2.c. Medicine, coffee, whole, Taxed by 10% Taxed by 16% Taxed by 5% rice, flour, cooking oil 2.d. Cold meat, canned Taxed by 10% Taxed by 16% Taxed by 16% meat, hotel, club 2.e. Fish, coconut, seed Taxed by 16% Exempt Exempt (sowing) 3. Luxury VAT rate 3.a. Restaurant, cafeteria, Taxed by 16% Exempt (sales) but taxed by 8% Exempt (sales) but taxed by 8% bar 3.b. Vehicles with FOB Taxed by 25% Taxed by 16% + 8% for luxury tax Taxed by 16% + 8% for luxury tax value < U$S 30,000 3.c. Vehicles with FOB Taxed by 35% Taxed by 16% + 16% for luxury tax Taxed by 16% + 16% for luxury tax value > U$S 30,000 3.d. Mobile telephone Taxed by 20% Taxed by 16% + 4% for luxury tax Taxed by 16% + 4% for luxury tax Source: Estatuto Tributario Nacional 2013. 10 3 Analysis of the Distributional Impact of Colombia’s Tax Reform The findings of this impact assessment are based on three different analyses. Each analysis follows a different methodology. The first analysis is concerned with understanding the overall impact of the reform on the distribution of income. This analysis is based on a constructed income distribution that combines administrative tax records with the GEIH. The second analysis estimates the impact of the changes to the VAT code on the distribution of consumption and on government revenues; this analysis is based on the LATAX micro-simulation technique and uses consumption data from the ENCV household survey. Finally, the third analysis uses a general equilibrium model to estimate the impact of the 2012 Colombian tax reform on the labor market. This section discusses the assumptions and limitations of each analysis. 3.1 Analysis of the New Alternative Income Tax based on a Constructed Income Distribution This subsection aims to shed light on the overall impact of the tax reform on fiscal revenues and the distribution of income; unlike studies using the CEQ methodology, this analysis rests on a constructed income distribution that combines administrative tax records with the GEIH. The main purpose of constructing an income distribution based on these two sources of data is to capture the high-income segment of society, which, due to underreporting, missing responses, or sampling issues, is often underrepresented in household surveys.21 In contrast to household surveys, administrative tax records, which are available only above a certain income threshold, more accurately capture the high-income segment of the society.22 The constructed income distribution used in this analysis is based on data from the 2011 GEIH combined with 2010 administrative tax records from the DIAN. It is important to note that this data merge results in double counting, as certain individuals may appear both in the survey and in the administrative records. To correct for this overlap, individuals with total incomes greater than 3,300 UVT23 are dropped from the GEIH sample to create a single income distribution (see Figure 2).24 The Gini coefficient and the GoC’s tax revenue are then calculated using both the truncated distributions of the administrative record and the GEIH. 21 Based on an analysis of Latin American data, Székely and Hilgert (1999) suggest that household surveys are not representative of the richest in society, and therefore, the Gini coefficient can be severely under-estimated. 22 There is an extensive literature explaining the underreporting problem and why tax records might help solve it (see, e.g., Atkinson and Piketty 2007). Alternatively, one may analyze income inequality using the Pareto interpolation technique (see, e.g., Hlasny and Verme 2013). However, the Pareto technique works well only when underreporting is not important (Cowell and Victoria-Feser 2000). 23 According to Colombian law, all individuals with a total income higher than 3,300 UVT should present a declaration. As noted earlier, the value of 1 UVT in 2010 was 24,555 COP. 24 The choice of this threshold is non-trivial and it is discussed in Diaz Bazan 2014; in particular, because tax records represent the entire population that submits a declaration, the income tax threshold is used to cut off the 11 Figure 2: GEIH + administrative income tax data (DIAN) 45,000,000 40,000,000 35,000,000 Average Income 30,000,000 25,000,000 20,000,000 15,000,000 10,000,000 5,000,000 - 117 146 175 204 233 262 291 320 349 378 407 436 465 494 523 552 581 610 639 668 697 726 755 784 813 842 871 900 929 958 987 1 30 59 88 Mean Labor Income GEIH Mean Labor Income DIAN Source: Based on GEIH (raw) 2011 and data from income tax declarations, DIAN 2010. Estimations correspond to all individuals who report having labor income. However, it should be noted that the inequality analysis based on the constructed income distribution is also subject to limitations and assumptions. In terms of limitations, the Gini coefficient is only calculated for individuals who report having labor income. According to Colombian law, only the employees for whom the contribution of labor income represents at least 80 percent of their total income are eligible for the alternative income tax,25 and only these individuals are considered in the analysis. This means that, unlike the official Gini coefficient, the one calculated using the constructed income distribution is based on labor income rather than total income.26 Finally, since the analysis is not based on tax declarations, it implicitly assumes no tax evasion. 3.2 Analysis of the Impact of the Value Added Tax on the Distribution of Consumption The second analysis summarized in this report examines the distributional impact of the changes in the VAT code. The analysis uses the micro-simulation model LATAX, originally developed by experts at the Institute of Fiscal Studies in the United Kingdom to analyze tax and benefit reforms in Mexico.27, 28 The LATAX methodology identifies changes in tax revenue and the distributional impact of tax reforms, assuming that households do not modify their behavior as a consequence of these changes. In addition, it allows for a simulation of behavioral responses among households along some specific dimensions. To assess the distributional impact of the household survey distribution and thus prevent double counting. 25 Artículo N° 329, N° 1607, Estatuto Tributario Nacional 2012. 26 Moreover, the analysis is based on the GEIH rather than on MESEP data, which is typically used for measuring poverty and inequality. 27 The expanded LATAX model has already been implemented in two Latin American countries —Mexico and El Salvador—to assess their respective tax reforms in 2010 and 2011. 28 Abramovsky et al. 2011a. 12 Colombian tax reform, the analysis uses the household information on net income and household expenditures from the 2011 National Quality of Life Survey. LATAX simulates the status quo and estimates the impact of both the proposed tax reform and the approved tax reform. Box 1: Adjusting for Missing Income and Expenditure under IMAN and LATAX Simulations Household surveys are not representative of the top percentiles of overall income distribution. This low representation is associated with two major problems: no response and underreporting of income or consumption. The first problem corresponds to not reporting any type of income. If the non-response rate is constant over time, changes in inequality would not be greatly affected (Gasparini et al. 2000). However, because these rates are fluctuating in time, not considering this fact may bias the results. Statistics institutes have succeeded in reducing the non-response rate in household surveys through multivariate regressions according with demographic and socioeconomic characteristics. The second problem of household surveys is underreporting of income. This phenomenon can significantly alter inequality measures. If the underreporting is different across economic strata, differs by source of income, and changes over time, this can lead to problems when estimating the concentration of income. Sometimes specialists seek to attenuate this problem by obtaining a factor for each source of income from national accounts. However, this practice is not considered an adequate solution by some experts because the individuals underreporting income are usually from the higher income centiles (Székely and Hilgert 1999). Due to the fact that tax records are a good complement for household surveys, we construct an income distribution for Colombia by combining both household surveys (for individuals earning less than 3,300 UVT) and administrative tax records (for individuals earning 3,300 UVT or more). A final concern arises when there is underreporting for consumption. To address this issue, the distributional analysis of the VAT is performed using fixed factors for each income source and broad expenditure category to match National Accounts. It is important to note that the national accounts provide information on only 12 categories of spending, rather than the 60 (30 formal and 30 informal) included in LATAX. This means that one must amalgamate the LATAX spending categories into larger categories for which National Accounts data is available, and multiply by factors calculated for these larger categories (for details on how these factors are chosen, see Annex 2). Additionally, all scenarios are calculated using the unadjusted National Accounts, with the objective of demonstrating that the use of factors lead only to a change in the magnitude but not in the tendency of the results. The LATAX simulation makes specific assumptions about individual and household purchase behavior. The model assumes that neither changes in prices caused by the IMAN tax reform nor changes in wages caused by changes in income tax impact households’ and individuals’ purchase behavior. Furthermore, the original model assumes that individuals purchase products through formal channels, thus paying the VAT for all of their purchases. In terms of limitations, the LATAX simulations are based on household survey data which, as already noted, underestimates the consumption of high income households. 13 All simulations assume that the VAT tax rate is zero percent for exempt goods. Consistent with earlier applications of the LATAX methodology, each scenario simulated in LATAX assumes a zero percent tax rate for exempted goods in the baseline.29 Some experts argue in favor of including the effective tax rates (based on taxable intermediate inputs) as a way to adjust the nominal tax rate (0 percent).30 Because the effective tax rate is not considered in the analysis, the tax collection can be underestimated, while distributional results can be overestimated (in the same proportion as the effective tax rate). For the case of unprocessed foods, the analysis considers an upper (no tax evasion) and a pseudo-lower (some tax evasion) bound on incidence. One commonly used approach to measure tax evasion is the “tax gap” methodology, which estimates the difference between the true tax liability for a given tax year and the amount that is paid on time; this is done by comparing two sources of income information: tax return data and the National Accounts.31 However, given that VAT data is not readily accessible, in order to account for tax evasion the current analysis distinguishes between purchases from the formal and informal markets by taking into account the place of purchase.32 In particular, the data allow for estimates in two different scenarios: (1) a no-tax-evasion scenario (corresponding to an upper bound on incidence), which assumes that all households purchase unprocessed foods in the formal market and thus pay taxes; and (2) a tax-evasion scenario (corresponding to a pseudo-lower bound on incidence), which assumes that households purchase unprocessed foods in either the formal market, in which case they pay taxes, or in the informal market, in which case they evade taxes.33 The study accounts for missing expenditure and income values. In general, household surveys underreport income and/or consumption relative to information gathered by the National Accounts. In order to match National Accounts data with household survey data, each income source and expenditure category is multiplied by fixed factors.34 As a robustness check, all scenarios are also calculated using unadjusted data. 3.3 Analysis of the Impact of the Income Tax for Equity on the Labor Market The third analysis summarized in this report evaluates the impact of the 2012 Colombia tax reform on the labor market. In particular, this analysis focuses on the potential effects of the 29 Abramovsky et al. 2011b (p. 21) state the following: “We do not model the VAT embodied in the price of exempt goods (which are goods on which VAT is not levied, but for which the VAT paid on inputs cannot be reclaimed), in effect treating such goods as zero-rated.” 30 The effective tax rate is calculated using the Input-Output matrix. 31 Cruz 2009. 32 For instance, a good is assumed to be purchased in the formal market when it is purchased in a supermarket or small store and in the informal market when it is purchased from peddlers or informal stores. 33 For the case of vegetables, the ENCV asks urban households about their place of purchase. Therefore, under the pseudo-lower bound scenario, it is assumed that households in rural areas are part of the informal market. 34 This is done following the LATAX manual, which recommends adjusting income and consumption by the National Accounts data. For more details about this factor please see the Annex 2. 14 reform that relates to changes in the source of financing for training (SENA), in-kind transfers (ICBF), and employers’ contributions to health care35 on wages, total employment, and the creation of new formal jobs. Two scenarios—A and B—are considered. Under Scenario A, the corporate income tax rate is kept at its statutory value of 33 percent, while under Scenario B the corporate tax rate is set at 34 percent, in line with the 1 percent increase of the CREE element of the 2012 Colombia tax reform. The analysis is based on the employment figures from the GEIH household survey from the second quarter of 2012 and employs a version of the dynamic general equilibrium model of Antón and Leal (2013)36 (see Box 2) calibrated to Colombian data. The general equilibrium model is subject to several constraints and assumptions. First, both Scenarios A and B assume a decrease of 13.5 percentage points (pp) in labor taxes, which includes the change in financing from labor to corporate income for SENA (a 2 pp decrease related to the change in the source of financing for training), ICBF (a 3 pp decrease related to in- kind transfers), and employers’ contributions to the healthcare system (8.5 pp decrease). To compensate the formal workers for the fall in contributory social insurance (CSI) service transfers, the model also assumes a non-wage based, lump-sum transfer equivalent to 9 percent of their benchmark wage rate.37 Second, workers are only considered formal if they contribute to the pension and contributory health system. And finally, the model excludes government employees. 35 These are payroll taxes related to the contributions made by employers to the Servicio Nacional de Aprendizaje (SENA), the Instituto Colombiano de Bienestar Familiar (ICBF), and the Cajas de Compensación Familiar (CCF). 36 Antón and Leal 2013. 37 This 9 percent includes 2 percent from SENA and 7 percent from employers’ contributions to health care. Note that in-kind transfers (ICBF) are not included in the lump-sum CSI service transfers. 15 Box 2: Effects of the Fiscal Reform on Labor Markets The methodology is based on a dynamic general equilibrium model with occupational choice proposed by Antón and Leal (2013). The framework extends the occupational choice problem of Lucas (1978) to two sectors (capturing the fact that before the 2012 fiscal reform, several goods were exempt from the value added tax) and three different taxes (value added tax [VAT], contributory social insurance [CSI] services tax, and corporate income tax [CIT]) in a tax evasion framework. The model assumes a representative multi-member family that maximizes lifetime utility. Family members are endowed with “managerial abilities,” and they may optimally choose to be an employee, an own-account worker, or a full-time entrepreneur (employer). If an employee, the individual is classified as formal if s/he has access to CSI, otherwise s/he is classified as informal. On the production side, firms require capital, labor, and managerial ability to produce goods in a perfectly competitive environment. Each firm is run by a full-time entrepreneur. Goods may also be produced by own-account workers using a similar production technology. Firms have an incentive to evade taxes, facing an endogenous probability of being detected by the fiscal authority in doing so. This probability is proportional to the firm’s size, so that small-scale firms have a lower probability of being detected. If detected, firms must pay all taxes evaded plus a fine. The model also assumes that the fiscal authority cannot impose taxes on own-account workers since it is difficult and costly to monitor the economic activities of the self-employed. A firm may choose to evade CSI taxes for all or some of its workers. If a firm does not cover CSI taxes for a worker, that worker is labeled as informal; otherwise, the worker is labeled as formal. Given the incentive structure, large firms will hire mostly formal workers, since the probability of CSI tax evasion detection is higher for these workers. Small firms hire relatively more informal workers. This assumption is consistent with empirical findings using Mexican data, as discussed by Antón, Hernández, and Levy (2012). Own-account workers optimally choose not to pay CSI taxes and are thus classified as informal workers. As a result, the possibility of evading CSI taxes gives place to the coexistence of formal and informal employees in equilibrium. Labor demand functions for formal and informal workers can be obtained from the firm’s optimization problem. These functions are affected by the tax structure in place, so that a change in any tax rate may affect the demand for labor. Labor supply is endogenously provided by own-account workers and by family members who choose to become employees, with the household simultaneously choosing the fraction of employees that provide services as formal and informal workers. Overall, the model endogenously yields labor supply and demand functions for both formal and informal workers and computes the equilibrium wage rate in each market. This structure is suitable for the estimation of the effects of changes in the tax structure on both formal and informal workers as well as on average wages. The model was calibrated to match key features of the Colombian data collected prior to the fiscal reform approved in December 2012. In general, either 2011 or 2012 was used as the reference year. To perform the calibration, the parameters in the model were either fixed at the values observed before the 2012 tax reform (as in the case of the corporate income tax or employment figures), obtained from the relevant literature, or set to match key moments in Colombian data (see Antón 2014). 16 4. Results 4.1 New Alternative Income Tax (IMAN) Compared to alternative methodologies, the first analysis of the PSIA, which is based on the constructed full income distribution, finds the largest redistributive impact of the 2012 Colombia tax reform. When using the full income distribution, the Gini coefficient decreases from 0.586 to 0.579. This 0.7 percentage point decrease is significant and larger than that obtained using household surveys alone (registering a 0.4 percentage point decrease) (see Table 3). Considering that the average yearly reduction of the Gini coefficient in Latin American countries over the last 10 years was 0.51 percentage points, the estimated impact of the reform is not trivial.38 These results demonstrate the importance of using the full income distribution to calculate true inequality in a country. Table 3: Gini coefficient (income as living standard measure) Household GEIH + GEIH + Tax records Scenarios survey DIAN DIAN (DIAN) (GEIH) (no overlap) (overlap) Gini – status quo 0.51845 0.69277 0.58634 0.61091 Gini – Tax bill 0.51025 0.67390 0.57827 0.60040 Gini – Approved reform 0.51434 0.67580 0.57901 0.60215 Source: World Bank staff calculations based on GEIH 2011 and administrative data 2010. Note: Coefficient is estimated for all workers reporting labor income. The analysis based on the constructed income distribution also reveals that the introduction of the alternative income tax, IMAN, leads to a slight decrease in government revenues of approximately 0.1 billion COP (see Table 4).39 However, it is important to note that this analysis only accounts for changes in the income tax (IMAN) and does not include the introduction of the corporate (CREE) and luxury taxes or the changes in the VAT structure. Table 4: Fiscal collection (income as living standard measure) (billions of COP) Household GEIH + GEIH + Tax records Scenarios survey DIAN DIAN (DIAN) (GEIH) (no overlap) (overlap) Tax collection – status quo 1.4 3.7 4.9 5.1 Tax collection – Tax bill 1.8 3.8 4.8 5.6 Tax collection – Approved 1.5 3.6 4.8 5.1 Source: World Bank staff calculations based on GEIH 2011 and administrative data 2010. reform Note: Coefficient is estimated for all workers reporting labor income. 38 Calculated using SEDLAC (Center for Distributive, Labor, and Social Studies and the World Bank) harmonized data for the period 2001–2011. 39 As a robustness check, the simulation was also calculated using the 2011 ENCV; the results from this exercise are similar to the ones reported in the main text. 17 4.2 VAT Analysis The second analysis, based on the LATAX methodology, shows a modest impact of the VAT reform on inequality and tax revenues. Because this analysis only considers changes to the VAT code, consumption (vis-à-vis income) seems to be the more appropriate choice to determine the proportional impact of cash gains/losses.40 The analysis shows that the 2012 Colombia tax reform yields a modest reduction in the consumption Gini coefficient, from 0.50986 to 0.50895 (see Table 5). The result is in line with those obtained using the IMAN analysis.41 With regard to tax revenues, the corresponding simulation yields an increase in tax revenues from COP 15.7 billion to 16.2 billion (see Table 6). Table 5: Gini coefficient (consumption as living standard measure) Scenario ENCV 2011 Gini – status quo 0.50968 Gini – Tax bill 0.50881 Gini – Approved reform 0.50895 Source: World Bank staff calculations based on LATAX simulator and ENCV 2011. Table 6: Fiscal collection (consumption as living standard measure) (billions of COP) Scenario ENCV 2011 Tax Collection – Status quo 15.7 Tax Collection – Tax bill 16.1 Tax Collection – Approved reform 16.2 Source: World Bank staff calculations based on LATAX simulator and ENCV 2011. VAT Analysis by Item This subsection presents the main findings from the analysis of the distributional impact of the changes to the VAT on different types of goods using the baseline assumptions specified in Section 3.2 40 In order to conduct this analysis, it is first necessary to identify appropriate variables to measure living standard conditions in Colombia. An equivalence scale of 100/80/50 is used to assign households to particular positions in the consumption distribution. For instance, a household composed for a single adult with an expenditure of $100, a household composed of two adults with an expenditure of $180 (100+80), and a household consisting of two adults and a child with an expenditure of $230 (100+80+50) all have an equivalent level of well-being. 41 The analyses of the impact of the IMAN and of the VAT tax reform show similar results. Two important points to highlight are: (1) analyses 1 and 2 are undertaken independently of one another; while the first uses income as a measure of living standard conditions, the second uses consumption; and (2) the analysis of the IMAN uses the GEIH as its main input, whereas the analysis of the VAT uses the ENCV. 18 Changes in Processed Food When it comes to processed food (cold meat, bread, and fish), both the proposed and the approved changes to the VAT are expected to have a generally progressive distributional impact at the national level.42 The results show that, at the national level, the average cash gains (as a percentage of total expenditures) under both the proposed and the approved changes to the VAT decrease as one moves up the consumption distribution, indicating progressivity in relative terms (see Figure 3).43 While the gains are lower in rural areas, the tax incidence is progressive, with the first decile of the expenditure distribution clearly benefiting most from the reform. The results for urban areas follow an inverted U-shape pattern, with cash gains decreasing at either end of the expenditure distribution relative to the middle deciles; overall, however, the proposed reform is progressive, whereas the approved reform is marginally regressive. Focusing on the bottom 40 percent of the expenditure distribution, while at the national level this group shows average cash gains of 0.50 under the proposed reform, the same group shows average cash gains of 0.39 percent under the approved reform. Additionally, people living in urban areas are shown to gain more than those living in rural areas in every decile of the expenditure distribution. Overall, the expected impact of the proposed changes is similar to that of the approved changes, though the magnitude of impact is slightly lower in the latter case. Figure 3: At the national level, the bottom 40 percent benefits from the changes to the VAT code Proposed changes Approved changes Source: World Bank staff calculations based on LATAX simulator and ENCV 2011. 42 For details about the specific tax rate changes under each of the proposed and the approved changes to the VAT, see Table 2. 43 To corroborate whether the impact of the VAT reform is progressive or regressive, the Kakwani coefficient is estimated for each of the simulated scenarios at the national level and in urban areas (see Annex 4 for details). 19 However, in terms of absolute incidence, the analysis suggests Figure 4: Absolute incidence (national) of VAT on that both the approved and the processed food proposed reforms are regressive for the case of processed food. Figure 4 depicts the share of cash gain obtained by each decile. Because the high-consumption deciles capture most of the savings in absolute terms, both the approved and the proposed reforms are Source: World Bank staff calculations based on LATAX simulator and ENCV 2011. regressive when viewed through this lens. Changes in Unprocessed Food (Vegetables) Under the upper-bound scenario (no Figure 5: Under the no-tax-evasion scenario, the tax evasion), the results for incidence of the changes to the VAT related to unprocessed food is expected to be regressive unprocessed food (vegetables) are opposite to those for processed food (see Figure 5). The approved changes to the VAT have a generally regressive distributional impact at the national, rural, and urban levels. In rural areas, the lowest expenditure deciles show the largest declines in unprocessed food expenditures. In urban areas, the Source: World Bank staff calculations based on LATAX simulator and ENCV 2011. incidence shows a U-shape pattern: Note: The figure shows the impact of proposed and approved changes. households between the 3rd and the 8th consumption deciles44 experience most of the cash losses, accounting for 0.50 percent of their total expenditures, relative to 0.15 percent for households in the highest expenditure decile. At the national level, the total annual expenditure on unprocessed food of the poorest forty percent of the population is expected to decline, on average, by 0.80 percent.45 44 To corroborate whether the impact of the VAT reform is progressive or regressive, the Kakwani coefficient is estimated at the national and urban levels (see Annex 5 for details). 45 This might reflect the fact that the impact on this item is relatively small in the sense that, on average, the proportion of consumption in vegetables is approximately 8 percent of the total consumption. 20 Under the lower-bound scenario (some Figure 6: The tax incidence is marginally regressive tax evasion), the incidence of the tax is under the some-tax-evasion scenario marginally regressive (Figure 6). For national and urban areas in particular, the average cash losses (as a percentage of total expenditures) increase as one moves up the consumption distribution until the 5th decile and are somewhat lower for the remaining deciles. For example, households in the first five deciles lose on average 0.38 percent of total consumption, whereas households in the Source: World Bank staff calculations based on the LATAX simulator and ENCV 2011. highest expenditure decile lose on average Note: The figure shows the effects of the proposed and approved changes. 0.20 percent of total consumption. Prepaid Medicine A key component of the General System of Social Security in Health (SGSSS)46 in Colombia is the Mandatory Health Plan (POS).47 In particular, the GoC requires companies to enroll their employees in a POS; as part of this process, employees choose the medical company they want to join using intermediaries called Health Promotion Entities (EPS),48 which are responsible for guaranteeing health coverage to workers. The EPS do not provide medical care themselves; rather, they hire Lending Institutions of Health (clinics, hospitals, diagnostic centers, etc.) which are directly responsible for the patients’ care. However, families may also pay for supplementary health insurance called “prepaid medicine” in order to obtain a higher quality of coverage. The following analysis is based on the distributional effects of the tax reform on the supplementary health insurance or prepaid medicine. The proposed and approved changes to the VAT related to prepaid medicine are expected to affect mainly those in the top 30 percent of the consumption distribution and to have no effect on the rural population (see Figure 7). For rural and poor households, the changes to the VAT are shown to have no effect, reflecting the fact that the extra coverage is purchased mainly by high-consumption households. It is important to note that the approved reduction of the VAT tax rate, from 10 to 5 percent, implicitly reduces the price of supplemental medical care, with the likely result that poorer households would have greater access to coverage even if they had not purchased it in the past. 46 Sistema General de Seguridad Social en Salud. 47 Plan Obligatorio de Salud. The General System of Social Security in Health is divided into two regimes: contributive and subsidized. The first regime includes persons who have a working relationship, are able to pay as formal and independent workers, retirees, and their families and the second (subsidized) regime includes the poor and vulnerable population. 48 Entidades Promotoras de Salud. 21 Figure 7: In the case of prepaid medicine, the cash gain is concentrated in the higher expenditure deciles Proposed (16%) Approved (5%) National, urban, and rural levels National, urban, and rural levels Source: World Bank staff calculations based on LATAX simulator and ENCV 2011. In terms of absolute incidence, Figure 8: At the national level, the absolute incidence of the the reform is highly regressive VAT on prepaid medicine is highly regressive (see Figure 8). The highest consumption decile accumulates almost the entire share of their savings resulting from the changes to the VAT tax code, while relatively poorer households benefit only Source: World Bank staff calculations based on LATAX simulator and ENCV 2011. marginally. However, it should be noted that the analysis does Figure 9: With regard to leisure services, wealthier not take into account behavioral households are expected to bear most of the related tax responses, which could affect and burden change the distributional dimensions of the reform. Leisure Services As is the case with prepaid medicine, the effect of the VAT reform on leisure services is concentrated in the high end of the consumption distribution Source: World Bank staff calculations based on LATAX simulator and ENCV 2011. (see Figure 9). This is not Note: The figure shows the proposed and approved changes due to the reform. surprising given that nearly all of the expenditures on clubs and hotels are concentrated in the highest two expenditure deciles, with little or no expenditures found in the lower eight deciles. This reflects the fact that leisure 22 services are unessential expenditure items (luxury goods) and, as such, tend to be more common among high-consumption households. Thus, because the approved change to the VAT increases the tax on these non-essential services, it is shown to be progressive in the sense that higher consumption households are expected to bear most of the related tax burden, while poor households are expected to remain largely unaffected. Combined Impact of All Changes to the VAT At the national level, changes to the VAT code are expected to have only a modest impact on inequality and tax revenues, and practically no impact in terms of their incidence. Assuming no tax evasion (Figure 10), the approved changes to the VAT code are expected to be marginally regressive. At the national level, under the approved reforms, the bottom three deciles are expected to bear the largest burden of the reform and incur the largest consumption losses. While the incidence in rural areas shows a clearly regressive pattern, with rural households at the bottom decile incurring the largest losses, the incidence in urban areas follows a U-shape pattern, with cash losses decreasing at either end of the expenditure distribution relative to the middle deciles. Assuming some tax evasion scenario, however, the approved changes to the VAT code are expected to be overall progressive at the national level, progressive in rural areas, and marginally regressive in urban areas (Figure 11). In terms of the proposed reform, results show a regressive pattern (Figure 10), while under the some-tax-evasion scenario the results show a progressive effect (Figure 11). Figure 10: Under the no-tax-evasion scenario, the approved changes to the VAT are overall slightly regressive Proposed Approved Source: Authors’ calculation based on LATAX simulator and ENCV 2011. Note: Uniform rate excluded. 23 Figure 11: Under the some tax evasion scenario, the approved changes to the VAT are overall slightly progressive Source: Authors’ calculation based on LATAX simulator and ENCV 2011. With regard to the absolute incidence49 of the VAT reform, the analysis reveals it to be progressive, as shown in Figure 12. In particular, the high consumption households (10th decile) bear a larger share of the cash losses relative to the poorer households as a result of the proposed reform; the proposed reform is also shown to be more progressive than the approved reform, the impact of the latter being 39 percent smaller than that of the former. It is important to note the caveats of the Figure 12: For the absolute incidence, the analysis presented in this section. First, the reform is expected to be progressive at the national level VAT analysis excludes food groups for which disaggregated goods expenditure is not available, given that in order to evaluate the impact of the changes to the VAT code it is necessary to track the effect of the changes on each good separately. As a result, the analysis of regressivity or progressivity of the reform Source: World Bank staff calculations based on LATAX simulator and is based only on the effects of the reform on a ENCV 2011. subset of goods, as opposed to the full array of goods affected by the reform. Second, LATAX micro-simulations fail to capture the total tax effect: in particular, they do not include any tax collection or firm production channels, and only capture one sector of the economy. 49 This report uses the term “absolute incidence” when describing the tax paid/saved by a given unit of analysis as a proportion of all taxes collected (or reduced) by the government, and the term “relative incidence” when discussing the tax paid/saved as a proportion of expenditure (for more on the latter, see Annex 7). 24 Additional VAT Tax Reform Scenarios This subsection analyzes the effect of extreme VAT reform scenarios on the bottom 40 percent of the consumption distribution. The analysis simulates two scenarios: a uniform VAT rate of 16 percent and an exemption from the VAT rate for unprocessed food while remaining goods are taxed at 16 percent. Figure 13: Unprocessed food exemptions mitigate the distributional impact of tax reform All goods All goods except unprocessed food Source: World Bank staff calculations based on LATAX simulator and ENCV 2011 . At the national level, the first simulation of a uniform VAT rate of 16 percent across all goods is essentially regressive, with cash losses representing a greater share of expenditures among poorer households. With a loss equivalent to 7.45 percent of total expenditures, on average, the bottom 40 percent of the income distribution lose proportionally more than the top of the distribution. By comparison, the richest decile loses only 3.19 percent of total expenditure under this scenario (see Figure 13, left side). Exempting unprocessed food while keeping VAT rates uniform mitigates the distributional impact, producing smaller cash losses as a percent of expenditure for poorer households. The results reveal the relative importance of unprocessed food for poorer households. In particular, focusing on urban area households reveals that the poorest decile loses the least (proportionate to total expenditure) regardless of the scenario, while the middle of the consumption distribution bears most of the tax burden.50 50 At the national level, the first decile is comprised mainly of people living in rural areas, whereas for the rest of the distribution it is comprised primarily of urban dwellers (see Figure 13, right side). 25 Figure 14: Transfers targeted to the poorest groups Transfers, and in particular targeted strengthen the progressivity of reforms transfers, could make the tax reform more progressive. Adding to scenario one, with a uniform tax rate of 16 percent, we considered two additional changes: (1) every household receives a uniform subsidy generated from the revenue collected from the household sector; and, alternatively, (2) households in the bottom 40 percent of the consumption distribution51 receive a subsidy generated from the revenue Source: World Bank staff calculations based on LATAX simulator and ENCV 2011. collected from the household sector.52 The results from this exercise show that: (1) a uniform subsidy yields relatively greater gains (losses) to the bottom 10 percent of the population (90 percent) but helps in some sense to mitigate the impact on the poorest bottom 40 percent, because the reform impacts their expenditures more; and, on the other hand, (2) targeted transfers show a more progressive targeting to the bottom 40 percent of households and cash losses to higher income households (Figure 14). 4.3 Effects of the Tax Reform on Informality and Employment—Results The results of the general equilibrium simulations show that the tax reform increases salaried employment and total employment. Under Scenario A, salaried formal employment increases more (3.7 percent) than under Scenario B (3.4 percent), which assumes an increase in corporate tax in addition to the assumptions of Scenario A. Own-account employment decreases more under Scenario A than under Scenario B, resulting in a larger increase in total employment under Scenario B (0.5 percent) than under Scenario A (0.3 percent) (see Table 7).53 Under both scenarios, the demand for salaried workers increases because the reform makes salaried labor relatively less expensive (and own-account relatively labor more expensive). 51 The bottom 40 percent of the population eligible for the subsidy is identified using the national distribution of households. 52 This scenario assumes perfect targeting. 53 An employee is classified as formal if s/he has access to CSI; otherwise, s/he is classified as informal. 26 Table 7: Fiscal reform effects on employment and earnings (% change with respect to benchmark) Scenario A Scenario B Employment Total employment 0.3 0.5 Salaried formal 3.7 3.4 Salaried informal 0.9 0.5 Own-account -4.3 -3.4 Real Earnings Formal net wage (net of taxes/subsidies) 4.9 4.8 Informal net wage (net of taxes/subsidies) 3.0 2.9 After-tax average earnings, own account 2.8 2.6 After-tax average earnings, employers 4.0 4.6 Source: GEIH 2012 (q2). Notes: (a) Informal salaried plus own-account workers; (b) Salaried plus own-account workers. Reform scenario A assumes a fall of 22.4 percent in labor taxes (equivalent to a decrease of 10.5 percentage points) and a lump-sum transfer to formal workers equivalent to 9 percent of their benchmark wage rate. Reform scenario B assumes scenario A plus an increase in the corporate income tax rate from 33 to 34 percent. Formal salaried employment increases by over 3 percent under both scenarios. While the total effect is greater under Scenario B, individual effects are muted: raising the corporate tax partially offsets the increased demand in labor that results from decreasing the labor tax, while also partially offsetting the decrease in own-account employment, as some employers may choose to become own-account workers to avoid the corporate tax. Regardless, increased total and formal employment as a result of decreased labor taxes with and without an increase in corporate taxes indicates that this reform is unambiguously expected to enhance equity. The model also predicts an increase in wages as a consequence of the reduction of the payroll tax. Formal wage earners, own account workers and employers see a rise in after-tax average earnings as a result of the tax reform under both scenarios (see Table 7). While own- account earnings change the least, they still rise by over 2.6 percent under both scenarios. With the exception of after-tax earnings of employers, earnings under Scenario B rise less than they do under Scenario A, as some of the increase in corporate tax is passed on to employees. The reason employers’ earnings increase more under Scenario B than they do under Scenario A can be partially explained by the decrease in the number of total employers under Scenario B as employers become own-account workers. The increase in wages across workers indicates the positive social impact of the tax reform, as rising incomes will contribute to poverty reduction and the creation of more and better-paying jobs will help reduce income inequality. 27 Overall, the 2012 tax reform is expected to foster job creation. The decrease in other labor taxes will contribute to the main objective of job creation; the overall level of employment is anticipated to rise as a result of the tax reform. However, as a higher corporate tax increases incentives for working in the informal market, the share of informal employment may also rise. 5 Conclusion Three main components of the 2012 Colombian tax reform stand out. They include: (1) a new Alternative Minimum Tax (IMAN) for personal income tax payers; (2) a new corporate tax (CREE) to offset a decrease in payroll taxes; and (3) a streamlined VAT system, reducing the number of tax rates from seven to three while also creating a new luxury tax. Additionally, the government introduced changes in the federal tax on gasoline and diesel fuel, the effects of which were not analyzed in this report. Colombia’s reform on income tax serves the intended purpose of reducing income inequality. Using the constructed full income distribution, the Gini coefficient decreases from 0.586 to 0.579—a decrease of 0.7 percentage points compared to the 0.4 percentage point decrease observed when relying solely on household surveys. Considering that the average yearly reduction of the Gini coefficient in the LAC region over the last 10 years was 0.51 percentage points, Colombia’s estimated reduction in the Gini coefficient is not trivial. These results also demonstrate the importance of using the full income distribution to calculate the true inequality in a country. At the national level, changes to the VAT code are expected to have only a modest impact on inequality and tax revenues, and practically no impact in terms of their incidence. Assuming no tax evasion, the approved changes to the VAT code are expected to be marginally regressive. However, assuming some tax evasion, the approved changes to the VAT code are expected to be overall progressive at the national level, progressive in rural areas, and marginally regressive in urban areas. Overall, the 2012 tax reform is expected to foster job creation. The decrease in other labor taxes will contribute to the main objective of job creation; the overall level of employment is anticipated to rise as a result of the tax reform. However, as a higher corporate tax increases incentives for working in the informal market, the share of informal employment may also rise. Some caveats regarding the analysis presented in this report should be noted. First, the VAT analysis excludes food groups for which disaggregated goods expenditure is not available—this is so because in order to evaluate the impact of the changes to the VAT code, it is necessary to separately track the effect of the changes on each good. As a result, the findings corresponding to the overall impact of the reform are based only on a subset of goods rather than on the full array of goods affected by the reform. 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World Development Indicators (WDI) database. 33 Annexes Annex 1: Proposed vs. Implemented Income Tax Reform Rates Annual Proposed Annual Proposed Annual Approved Approved Proposed Approved Income in IMAN in Income in IMAN in Income in IMAN in UVT IMAN in UVT IMAN in UVT IMAN in UVT UVT UVT UVT UVT UVT 1200 19.87 0.00 2932 128.32 66.02 7534 951.09 674.35 1262 20.63 0.00 3014 137.58 71.54 7738 994.25 712.80 1303 21.29 0.00 3095 147.10 77.24 7941 7037.50 752.10 1344 21.94 0.00 3177 156.87 83.14 8145 1080.78 792.22 1385 22.59 0.00 3258 166.88 89.23 8349 1124.01 833.12 1425 23.24 0.00 3339 177.13 95.51 8552 1167.13 874.79 1466 23.89 0.00 3421 187.62 101.98 8756 1210.09 917.21 1507 24.54 0.00 3502 198.35 108.64 8959 1252.82 960.34 1548 25.20 1.05 3584 209.30 115.49 9163 1295.24 1004.16 1588 25.85 1.08 3665 220.48 122.54 9367 1337.31 1048.64 1629 26.50 1.11 3747 231.89 129.76 9570 1378.95 1093.75 1670 27.15 1.14 3828 243.50 137.18 9774 1420.10 1139.48 1710 27.80 1.16 3910 255.34 144.78 9978 1460.71 185.78 1751 28.45 2.38 3991 267.38 152.58 10181 1500.69 1232.62 1792 29.10 2.43 4072 292.07 168.71 10385 1540.00 1279.99 1833 29.76 2.49 4276 324.04 189.92 10588 1578.57 1327.85 1873 30.41 4.76 4480 357.18 212.27 10792 1616.33 1376.16 1914 33.75 4.86 4683 391.42 235.75 10996 1653.21 1424.90 1955 36.53 4.96 4887 426.70 260.34 11199 1689.17 1474.04 1996 39.40 8.43 5091 462.96 286.03 11403 1724.12 1523.54 2036 44.33 8.71 5294 500.13 312.81 11607 1758.02 1573.37 2118 50.54 13.74 5498 538.15 340.66 11810 1790.79 1623.49 2199 57.04 14.26 5701 576.96 369.57 12014 1822.37 1673.89 2281 63.84 19.81 5905 616.49 399.52 12217 1852.98 1724.51 2362 70.92 25.70 6109 656.67 430.49 12421 15% Over IBD 1775.33 2443 78.30 26.57 6312 697.46 462.46 12625 15% Over IBD 1826.31 2525 85.95 35.56 6516 738.77 495.43 12828 15% Over IBD 1877.42 2606 93.89 45.05 6720 780.55 529.36 13032 15% Over IBD 1928.63 2688 102.09 46.43 6923 822.74 564.23 13236 15% Over IBD 1979.99 2769 110.57 55.58 7127 865.27 600.04 13439 15% Over IBD 2031.18 2851 119.31 60.70 7330 908.07 636.75 13643 15% Over IBD 27%*RGA-1622 Source: World Bank staff calculations based on the Estatuto Tributario Nacional 2013. 34 Annex 2: National Account Consumption Categories and Factors Multiplication Category Number Description Factor −1 Food 1.07 0 Alcohol and tobacco 3.75 1 Communications 2.55 2 Clothing and footwear 3.72 Housing, electricity, gas, water, and other 3 2.43 fuels 4 Furnishings and household equipment 2.28 5 Health 1.09 6 Transport 1.85 7 Leisure and Culture 1.14 8 Education 2.81 9 Hotels, cafes, and restaurants 4.89 10 Miscellaneous goods and services 1.39 Source: World Bank staff calculations based on ENCV 2011 and National Accounts. 35 Annex 3: Progressivity of the Proposed Income Tax Reform 36 Annex 4: Kakwani Coefficient for Processed Food, at the National Level and in Urban Areas Processed Food Status Quo Proposed Approved National Level Gini - Status Quo 0.50968 0.50968 0.50968 Cuasi – Gini 0.5682 0.5797 0.5774 Kakwani 0.05852 0.07002 0.06772 Urban Areas Gini - Status Quo 0.49433 0.49433 0.49433 Cuasi - Gini 0.5559 0.5682 0.5655 Kakwani 0.06157 0.07387 0.07117 Source: World Bank staff calculations based on LATAX simulator and ENCV 2011. 37 Annex 5: Kakwani Coefficient for Unprocessed Food, at the National Level and in Urban Areas Unprocessed Food Status Quo Proposed Approved National Level Gini - Status Quo 0.50968 0.50968 0.50968 Cuasi – Gini 0.00 0.2476 0.2476 Kakwani -0.50968 -0.26208 -0.26208 Urban Areas Gini - Status Quo 0.49433 0.49433 0.49433 Cuasi - Gini 0.00 0.2400 0.2400 Kakwani -0.49433 -0.25433 -0.25433 Source: World Bank staff calculations based on LATAX simulator and ENCV 2011. 38 Annex 6: Expected Progressivity of Reform in Terms of Absolute Incidence, National Level, Assuming No Tax Evasion Source: World Bank staff calculations based on LATAX simulator and ENCV 2011. 39 Annex 7. Summary of the Relative Incidence of the Proposed and Approved VAT Tax Changes Approved Reform Relative Incidence Absolute Incidence Progressive Regressive Progressive Regressive Processed Food yes yes National yes Urban yes Rural Unprocessed Food yes yes National yes Urban yes Rural Leisure Services yes yes National yes Urban - Rural Prepaid Medicine yes yes National yes Urban yes Rural Total yes* yes ** yes Source: World Bank staff calculations based on results. Note: (*) considering only formal market (some tax evasion); (**) assuming no tax evasion. 40