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Can Information Influence the Social Insurance Participation Decision of China's Rural Migrants (Inglês)

This paper uses a randomized information intervention to shed light on whether poor understanding of social insurance, both the process of enrolling and costs and benefits, drives the relatively low rates of participation in urban health insurance and pension programs among China's rural-urban migrants. Among workers without a contract, the information intervention has a strong positive effect on participation in health insurance and, among younger age groups, in pension programs. Migrants are responsive to price: in cities where the premiums are low relative to earnings, information induces health insurance participation, while declines are observed in cities with high relative premiums.


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    Giles,John T., Meng,Xin, Xue,Sen, Zhao,Guochang

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    Documento de trabalho sobre pesquisa de políticas

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    Leste Asiático e Pacífico,

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    Can Information Influence the Social Insurance Participation Decision of China's Rural Migrants?

  • Palavras-chave

    migrant; social insurance; pension program; social insurance program; employee health insurance; social insurance scheme; health insurance program; participation rate; participation in health; informal sector worker; law and regulation; cost of insurance; social insurance contribution; health insurance premium; supply of labor; provision of information; estimation of equation; assignment to treatment; quality health care; pension fund account; social insurance system; work injury insurance; decline in fertility; impact on participation; risk of poverty; impact on health; average monthly earnings; short time horizon; number of migrants; cost of participation; standard of living; categories of employment; variation in treatment; formal sector employment; social insurance payments; characteristics of migrant; enforcement of law; individual pension account; mandatory retirement age; lump sum payment; employer health insurance; lack of portability; labor market condition; lack of knowledge; Insurance and Pension; years of schooling; stock of migrant; written contract; rural migrant; employer contribution; relative price; migrant worker; older worker; base year; employee pension; price elasticity; employment contract; indicator variable; urban health; labor shortage; summary statistic; treatment group; sampling frame; random selection; guest worker; migrant population; rural program; program participation; social security; baseline model; imperfect substitute; high share; robustness check; negative relationship; pension scheme; marital status; wage increase; urban program; individual characteristic; longitudinal survey; migrant destinations; home county; enrollment rate; employee contributions; labor supply; rural health; older migrants; permanent migration; migrant employees; labor contract; pension payment; employer's contribution; state council; modest increase; individual behavior; university student; local resident; budgetary consequence; older individual; future research; raise awareness; urbanization process; multiple dimension; positive impact; optimal choice; rural resident; average wage; health shock; Young Workers; labor-intensive industry; voluntary contribution; reimbursement rates; employer having; payroll contribution; rural area; employee account; economics research; contract work; average age; national university; common feature; base price; monthly salary; base period; self-employed individual; population mobility; baseline survey; poor migrant; household level; Social Welfare; migrant woman; high wage; medical system; high premium; accurate information; ownership characteristic; open access; development policy; migration plan; empirical evidence; average earning; log wage; individual level; household head; human subjects; standard error; employer participation; information delivery; working migrant; wage employment; extensive consultation; enterprise contribution; take time; phone number; urban household; urban residence; sampling strategy; longitudinal study; pension contribution; rural county; large population; administrative capacity; adverse health; binary choice; institutional feature; tax wedge; sample selection; long-term migration; metropolitan region; residential registration; migrant labor; negative correlation; survey questions



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