Estimating Poverty Among Refugee Populations: A Cross-Survey Imputation Exercise for Chad

32 Pages Posted: 28 Apr 2020

See all articles by Theresa Beltram

Theresa Beltram

affiliation not provided to SSRN

Hai-Anh Dang

World Bank - Development Data Group (DECDG); IZA Institute of Labor Economics; Indiana University Bloomington - School of Public & Environmental Affairs (SPEA); Global Labor Organization (GLO); Vietnam National University Ha Noi; Vietnam Academy of Social Sciences (VASS) - Centre for Analysis and Forecasting

Ibrahima Sarr

United Nations High Commissioner for Refugees (UNHCR)

Paolo Verme

World Bank Group; University of Turin - Department of Economics

Date Written: April 27, 2020

Abstract

Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad, by combining United Nations High Commissioner for Refugees survey and administrative data. The proposed method offers poverty estimates based on administrative data that fall within a 95 percent margin of poverty estimates based on survey consumption data. This result is robust to different poverty lines, sets of regressors, and modeling assumptions of the error term. The method outperforms common targeting methods, such as proxy means tests and the targeting method currently used by humanitarian organizations in Chad.

Suggested Citation

Beltram, Theresa and Dang, Hai-Anh H. and Sarr, Ibrahima and Verme, Paolo, Estimating Poverty Among Refugee Populations: A Cross-Survey Imputation Exercise for Chad (April 27, 2020). World Bank Policy Research Working Paper No. 9222, Available at SSRN: https://ssrn.com/abstract=3587157

Theresa Beltram (Contact Author)

affiliation not provided to SSRN

No Address Available

Hai-Anh H. Dang

World Bank - Development Data Group (DECDG) ( email )

1818 H. Street, N.W.
MC2-846
Washington, DC 20433
United States

HOME PAGE: http://sites.google.com/site/haianhhdang/

IZA Institute of Labor Economics ( email )

P.O. Box 7240
Bonn, D-53072
Germany

Indiana University Bloomington - School of Public & Environmental Affairs (SPEA) ( email )

1315 East Tenth Street
Bloomington, IN 47405
United States

Global Labor Organization (GLO) ( email )

Collogne
Germany

Vietnam National University Ha Noi ( email )

Vietnam Academy of Social Sciences (VASS) - Centre for Analysis and Forecasting ( email )

1 Lieu Giai Street
Hanoi
Vietnam

Ibrahima Sarr

United Nations High Commissioner for Refugees (UNHCR) ( email )

Switzerland

Paolo Verme

World Bank Group ( email )

Washington, DC 20433
United States

University of Turin - Department of Economics ( email )

Via Po, 53
Torino, 10124
Italy

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
23
Abstract Views
119
PlumX Metrics