2000
Abstract:
Most tenure choice models using cross sectional data have used either a sample of
recent movers or a sample comprising all households. There are problems with
estimating both types of models in cross sectional data. A sample of recent movers oversamples renters, and a sample of all households will yield estimates based on household
decisions made in the past. This research designs a method to correct for sample
selection in a sample of recent movers. There are large differences in the importance of
age and immigrant status and duration as a predictor of homeownership. At the same
time, income effects are similar across models.
