Full Citation

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

Citation Type: Miscellaneous

Publication Year: 2015

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Abstract: We use data from a housing-assistance experiment to estimate a model of neighborhood choice. The experimental variation effectively randomizes the rents 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: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2015474

User Submitted?: No

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

Publisher: Social Science Research Network

Data Collections: IPUMS USA

Topics: Housing and Segregation, Other

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