Title: Self-Targeting: Evidence from a Field Experiment in Indonesia

Type Dataset Alatas, Vivi, Banerjee, Abhijit, Hanna, Rema, Olken, Benjamin, Purnamasari, Ririn, Wai-Poi, Matthew (2017): Self-Targeting: Evidence from a Field Experiment in Indonesia. Harvard Dataverse. Dataset. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/6ZUIUC

Authors: Alatas, Vivi (The World Bank) ; Banerjee, Abhijit (Massachusetts Institute of Technology) ; Hanna, Rema (Harvard Kennedy School of Government) ; Olken, Benjamin (Massachusetts Institute of Technology) ; Purnamasari, Ririn (The World Bank East Asia & Pacific Region) ; Wai-Poi, Matthew (The World Bank Indonesia) ; Alatas, Vivi (The World Bank) ; Banerjee, Abhijit (Massachusetts Institute of Technology) ; Hanna, Rema (Harvard Kennedy School of Government) ; Olken, Benjamin (Massachusetts Institute of Technology) ; Purnamasari, Ririn (The World Bank East Asia & Pacific Region) ; Wai-Poi, Matthew (The World Bank Indonesia) ;

Links

• Item record in Abdul Latif Jameel Poverty Action Lab Dataverse
• Digital object URL

Summary

This paper shows that adding a small application cost to transfer program can substantially improve targeting through self-selection. Our village-level experiment in Indonesia finds that requiring beneficiaries to apply for benefits results in substantially poorer beneficiaries than automatic enrollment using the same asset test. Marginally increasing application costs on an experimental basis does not further improve targeting. Estimating a model of the application decision implies that the results are largely driven by the nonpoor, who make up the bulk of the population, forecasting that they are unlikely to pass the asset test and therefore not bothering to apply.

More information

• DOI: 10.7910/DVN/6ZUIUC

Subjects

• Social Sciences

Dates

• Publication date: 2017
• Submitted: October 06, 2017
• Updated: April 01, 2020

Rights

• info:eu-repo/semantics/openAccess
• http://creativecommons.org/publicdomain/zero/1.0 CC0 1.0

Format

electronic resource

Relateditems