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

Name	File Type	Size	Last Modified
20120737_programs_data			08/02/2019 09:22:PM
LICENSE.txt	text/plain	14.6 KB	08/02/2019 05:22:PM

Project Citation:

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:
      R38 Government Policy
      I38 Government Policy • Provision and Effects of Welfare Programs
      R23 Regional Migration • Regional Labor Markets • Population • Neighborhood Characteristics
      I32 Measurement and Analysis of Poverty

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Published Versions

V1 [2019-08-02]

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