Replication data for: Estimating Neighborhood Choice Models: Lessons from a Housing Assistance Experiment

Principal Investigator(s): View help for Principal Investigator(s) Sebastian Galiani; Alvin Murphy; Juan Pantano

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20120737_programs_data			10/11/2019 11:51:PM
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Project Citation:

Galiani, Sebastian, Murphy, Alvin, and Pantano, Juan. Replication data for: Estimating Neighborhood Choice Models: Lessons from a Housing Assistance Experiment. Nashville, TN: American Economic Association [publisher], 2015. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112882V1

Project Description

Summary: We use data from a housing-assistance experiment to estimate a model of neighborhood choice. The experimental variation effectively randomizes the rents which households face and helps identify a key structural parameter. Access to two randomly selected treatment groups and a control group allows for out-of-sample validation of the model. We simulate the effects of changing the subsidy-use constraints implemented in the actual experiment. We find that restricting subsidies to even lower poverty neighborhoods would substantially reduce take-up and actually increase average exposure to poverty. Furthermore, adding restrictions based on neighborhood racial composition would not change average exposure to either race or poverty. (JEL I32, I38, R23, R38)

Scope of Project

JEL Classification:
      I32 Measurement and Analysis of Poverty
      I38 Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs
      R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
      R38 Production Analysis and Firm Location: Government Policy

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Published Versions

V1 [2019-10-11]

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