Samples used to estimate discrete choice models in geography and regional science are typically assumed to simple random samples. This assumption is not always met with existing samples. Furthermore, data collection is usually less costly if a stratified sampling strategy is adopted. Existing sampling theory suggests that stratified sampling can affect the consistency of parameter estimates. This paper reviews the salient points of this theory and relates theory to practice by means of a simple example on housing choice by elderly.
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Univ So Calif, INET, Los Angeles, CA USA
Univ So Calif, Dept Econ, Los Angeles, CA USAUniv So Calif, INET, Los Angeles, CA USA
Chiong, Khai Xiang
Galichon, Alfred
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NYU, Dept Econ, New York, NY 10003 USA
NYU, CIMS, 550 1St Ave, New York, NY 10003 USA
Sci Po, Dept Econ, Paris, FranceUniv So Calif, INET, Los Angeles, CA USA
Galichon, Alfred
Shum, Matt
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CALTECH, Pasadena, CA 91125 USAUniv So Calif, INET, Los Angeles, CA USA