Replication data for: Turning a Shove into a Nudge? A "Labeled Cash Transfer" for Education

Principal Investigator(s): View help for Principal Investigator(s) Najy Benhassine; Florencia Devoto; Esther Duflo; Pascaline Dupas; Victor Pouliquen

Version: View help for Version V2

Name	File Type	Size	Last Modified
Data-Code---AEJPol---Turning-a-shove-into-a-nudge			03/29/2024 12:43:PM
CHANGES.txt	text/plain	770 bytes	03/29/2024 08:35:AM
LICENSE.txt	text/plain	14.6 KB	03/29/2024 08:35:AM

Project Citation:

Benhassine, Najy, Devoto, Florencia, Duflo, Esther, Dupas, Pascaline, and Pouliquen, Victor. Replication data for: Turning a Shove into a Nudge? A “Labeled Cash Transfer” for Education. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-03-29. https://doi.org/10.3886/E114579V2

Project Description

Summary: Conditional Cash Transfers (CCTs) have been shown to increase human capital investments, but their standard features make them expensive. We use a large randomized experiment in Morocco to estimate an alternative government-run program, a "labeled cash transfer" (LCT): a small cash transfer made to fathers of school-aged children in poor rural communities, not conditional on school attendance but explicitly labeled as an education support program. We document large gains in school participation. Adding conditionality and targeting mothers made almost no difference in our context. The program increased parents' belief that education was a worthwhile investment, a likely pathway for the results. (JEL H23, I24, 128, I38, J24, O15, O18)

Scope of Project

JEL Classification:
      H23 Taxation and Subsidies: Externalities; Redistributive Effects; Environmental Taxes and Subsidies
      I24 Education and Inequality
      I28 Education: Government Policy
      I38 Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration
      O18 Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

Geographic Coverage: Morocco

Time Period(s): 6/2008 – 7/2010

Universe:

The sample consisted of school sectors in poor municipalities with the highest primary school dropout rates of the 5 poorest administrative regions of morocco (this ended up being 320 sectors, or ~ 65% of the school sectors in the selected regions). All students eligible to attend the primary schools in these sectors (defined by "catchment areas") were in the sample. Two of the 320 sectors were dropped from the sample due to inaccessibility from extreme flooding

Data Type(s): administrative records data; survey data

Methodology

Unit(s) of Observation: Individual: Education providers (teachers, principals, etc.), Individual: Student , Family, household, or housing unit: Parent(s) with dependent children, Organization: School

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Published Versions

V2 [2024-03-29]

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DDI 2.5

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