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

Sebastian Galiani, Alvin Murphy & Juan Pantano
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...
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