Leopold R. Sarr

Cornell University - Food and Nutrition Policy Program

Department of Economics

Ithaca, NY 14853

United States

SCHOLARLY PAPERS

4

DOWNLOADS

372

SSRN CITATIONS

0

CROSSREF CITATIONS

1

Scholarly Papers (4)

1.

Cognitive, Non-Cognitive Skills and Gender Wage Gaps: Evidence from Linked Employer-Employee Data in Bangladesh

IZA Discussion Paper No. 9132
Number of pages: 36 Posted: 04 Sep 2015
Institut de Recherche pour le Developpement (IRD)IRD, DIAL, Paris, Cornell University - Food and Nutrition Policy Program and United Nations - World Institute for Development Economics Research (UNU/WIDER)
Downloads 126 (279,587)

Abstract:

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gender wage gap, cognitive skills, personality traits, matched worker-firm data, quantile decompositions, Bangladesh

2.

School Access, Resources, and Learning Outcomes: Evidence from a Non-Formal School Program in Bangladesh

IZA Discussion Paper No. 5659
Number of pages: 50 Posted: 25 Apr 2011
Hai-Anh Dang, Leopold R. Sarr and M. Niaz Asadullah
World Bank - Development Data Group (DECDG), Cornell University - Food and Nutrition Policy Program and University of Reading - Department of Economics
Downloads 109 (309,997)

Abstract:

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non-formal school, impact evaluation, multiple treatments, learning outcomes

3.

The Impact of Family Literacy on the Earnings of Illiterates: Evidence from Senegal

Cornell Food and Nutrition Policy Program Working Paper No. 159
Number of pages: 40 Posted: 10 Sep 2004
Leopold R. Sarr
Cornell University - Food and Nutrition Policy Program
Downloads 107 (314,033)
Citation 2

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Senegal, literacy, externality, intra-household analysis, labor participation

4.

Cognitive and Non-Cognitive Skills, Hiring Channels, and Wages in Bangladesh

IZA Discussion Paper No. 11578
Number of pages: 43 Posted: 02 Jul 2018
Paris School of Economics (PSE), Institut de Recherche pour le Developpement (IRD)IRD, DIAL, Paris and Cornell University - Food and Nutrition Policy Program
Downloads 30 (575,070)

Abstract:

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cognitive skills, personality traits, networks, matched worker-firm data, Bangladesh