Estimating neighborhood choice models: Lessons from a housing assistance experiment

Sebastian Galiani, Alvin Murphy, Juan Pantano

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)3385-3415
Number of pages31
JournalAmerican Economic Review
Volume105
Issue number11
DOIs
StatePublished - Nov 2015

ASJC Scopus subject areas

  • Economics and Econometrics

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