Replication data for: Targeting the Poor: Evidence from a Field Experiment in Indonesia

Principal Investigator(s): View help for Principal Investigator(s) Vivi Alatas; Abhijit Banerjee; Rema Hanna; Benjamin A. Olken; Julia Tobias

Version: View help for Version V1

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Targeting_Indonesia			09/14/2021 02:02:PM
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Project Citation:

Alatas, Vivi, Banerjee, Abhijit, Hanna, Rema, Olken, Benjamin A., and Tobias, Julia. Replication data for: Targeting the Poor: Evidence from a Field Experiment in Indonesia. Nashville, TN: American Economic Association [publisher], 2012. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112522V1

Project Description

Summary: This paper reports an experiment in 640 Indonesian villages on three approaches to target the poor: proxy means tests (PMT), where assets are used to predict consumption; community targeting, where villagers rank everyone from richest to poorest; and a hybrid. Defining poverty based on PPP$2 per capita consumption, community targeting and the hybrid perform somewhat worse in identifying the poor than PMT, though not by enough to significantly affect poverty outcomes for a typical program. Elite capture does not explain these results. Instead, communities appear to apply a different concept of poverty. Consistent with this finding, community targeting results in higher satisfaction. (JEL C93, I32, I38, O12, O15, O18, R23)

Scope of Project

Subject Terms: targeting; proxy-means

JEL Classification:
      C93 Field Experiments
      I32 Measurement and Analysis of Poverty
      I38 Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs
      O12 Microeconomic Analyses of Economic Development
      O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration
      O18 Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
      R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics

Geographic Coverage: Indonesia

Data Type(s): survey data

Methodology

Unit(s) of Observation: household,

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Published Versions

V1 [2019-10-11]

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DDI 2.5

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