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How to Cope with a Refugee Shock Evidence from Uganda (English)

Sub-Saharan Africa hosts a large proportion of the world’s refugees, raising concerns about the consequences of hosting refugees. This paper focuses on Uganda, which is the largest refugee hosting country in Africa and is praised for its progressive refugee policy. The paper analyzes the effects of hosting refugees, relying on longitudinal data and an instrumental variable approach. The results indicate that Ugandan households benefit from living close to the refugee settlements. In contrast with the existing literature, the analysis finds that those initially involved in subsistence agriculture benefit the most. The effect seems to be driven by the few households able to move from subsistence agriculture to commercial farming and to some extent, to wage employment.

Details

  • Author

    Kadigo,Mark Marvin, Diallo,Nene Oumou, Maystadt,Jean Francois Paul C

  • Document Date

    2022/03/01

  • Document Type

    Policy Research Working Paper

  • Report Number

    WPS9950

  • Volume No

    1

  • Total Volume(s)

    1

  • Country

    Uganda,

  • Region

    Africa East,

  • Disclosure Date

    2022/03/01

  • Disclosure Status

    Disclosed

  • Doc Name

    How to Cope with a Refugee Shock ? Evidence from Uganda

  • Keywords

    complete primary school; number of refugees; source income; household fixed effect; source of income; un general assembly; commercial farming; labor force participation; labor market outcome; country of origin; household and individual; total agricultural production; influx of refugees; refugee settlement; ownership of land; acres of land; freedom of movement; panel data set; distribution of household; household welfare measure; production of vegetables; reproductive health knowledge; change in welfare; value crop; distribution of occupations; annual mean temperature; proportion of male; regional trade integration; net economic benefit; duration of stay; nationally representative survey; income generating activity; terms of consumption; integration of refugees; average monthly revenue; labor market participation; method of estimation; impact of refugees; health service utilization; increase in consumption; local labour market; local health systems; education and health; adult equivalent; marital status; wage employment; cluster level; Land Ownership; income source; consumption aggregate; standard error; coping strategy; Host Communities; descriptive statistic; subsistence farming; instrumental variable; source country; household size; first stage; household head; base year; agricultural self-employment; account advance rate; forced displacement; education level; individual level; cumulative total; property income; refugee policy; wage worker; exclusion restriction; refugee camp; subsistence agriculture; border crossing; household level; use study; study period; family worker; commercial farmer; wealth effect; congolese refugees; urban household; subsistence farmer; refugee numbers; enumeration area; female refugees; unpaid worker; Forced Migration; rural location; agriculture sector; agricultural season; peace research; longitudinal data; land size; robustness check; home production; central regions; aggregate distribution; land cover; host population; border points; commodity market; demographic characteristic; preferred food; model specification; food product; price shift; household data; cross-sectional data; refugee influx; household income; response plan; Vegetable Production; international border; Armed Conflict; national policy; world market; observed change; welfare indicator; time t; peripheral area; agricultural income; downward bias; sampling design; summing up; trend line; first wave; mean distance; household interview; disaster medicine; unobserved characteristic; cultural change; gender characteristic; household enterprise; low standards; low consumption; local settlement; empirical analysis; adult equivalence; global trend; regression analysis; refugee protection; empirical literature; in economics; longitudinal survey; demographic composition; economic geography; household characteristic; working-age population; regression model; humanitarian need; household survey; health needs; supplementary information; need assessment; population center; Displaced Population; humanitarian assistance; food category; monetary term; university press; Civil War; land border; commercial agriculture; major road; market dynamic; as beneficiary; endogenous variable; International Trade; refugee situation; welfare benefit; employment categories; positive correlation; several factors; capital requirement; significant correlation; trade opportunity; study center; food basket; anecdotal evidence; cooking oil; basic food; refugee work; welfare improvement; average distance; trade partner; potential migrant; border area; across border; trade channels; positive impact; cross point; point estimate; new issue; refugee crisis; economic welfare; alternative livelihood; forced migrant; resource economics; trade disruption; agricultural good; agricultural wage; foster competition; agricultural labor; redistributive effect; qualitative study; collateral damage; statistical significance; young woman; agricultural employment; environmental researc

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Citation

Kadigo,Mark Marvin Diallo,Nene Oumou Maystadt,Jean Francois Paul C

How to Cope with a Refugee Shock Evidence from Uganda (English). Policy Research working paper,no. WPS 9950 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/104311646166101462/How-to-Cope-with-a-Refugee-Shock-Evidence-from-Uganda