Demand Systems Estimation with Microdata: A Censored Regression Approach

Dale Heien and Cathy Roheim

Journal of Business & Economic Statistics, 1990, vol. 8, issue 3, 365-71

Abstract: Demand systems estimation increasingly makes use of household-level microdata, mainly to measure the effects of demographic variables. Data based on these household-expenditure surveys present a major estimation problem. For any given houshold, many of the goods have zero consumption, implying a censored dependent variable. Techniques which do not take this censored dependent variable into account will yield biased results. We utilize a censored regression approach that is computationally simple, consistent, and asymptotically efficient. The results are then presented and compared with those obtained using an uncensored technique.

Date: 1990
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Persistent link: https://EconPapers.repec.org/RePEc:bes:jnlbes:v:8:y:1990:i:3:p:365-71

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