Full Citation

Title: Estimating Neighborhood Choice Models: Lessons from a Housing Assistance Experiment

Citation Type: Journal Article

Publication Year: 2015

ISBN:

ISSN:

DOI: 10.1257/aer.20120737

NSFID:

PMCID:

PMID:

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.

Url: https://www.aeaweb.org/articles?id=10.1257/aer.20120737

User Submitted?: No

Authors: Galiani, Sebastion; Murphy, Alvin; Pantano, Juan

Periodical (Full): American Economic Review

Issue: 11

Volume: 105

Pages: 3385-3415

Data Collections: IPUMS USA

Topics: Housing and Segregation

Countries: