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Individual heterogeneity and censoring in panel data estimates of tobacco expenditure

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  • Andrew M. Jones

    (Department of Economics and Related Studies, University of York, York YO10 5DD, UK)

  • José M. Labeaga

    (UNED Department of Economics, C|Senda del Rey, 11, 28040-Madrid, Spain)

Abstract

A panel of households is used to test the rational addiction model of Becker et al. (1994). These data raise problems of measurement errors, censoring, and unobservable heterogeneity. We use sample separation information to exclude those households who never purchase tobacco. To deal with the remaining zeros we compare specifications based on infrequency of purchase and on censoring. GMM and system-GMM are used to deal with errors-in-variables and unobservable heterogeneity. Within-groups two-step, within-groups three-step GMM and Minimum Distance methods are used to allow for censoring. There is evidence that the rational addiction specification is sensitive to unobservable heterogeneity and censoring. Copyright © 2002 John Wiley & Sons, Ltd.

Suggested Citation

  • Andrew M. Jones & José M. Labeaga, 2003. "Individual heterogeneity and censoring in panel data estimates of tobacco expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 157-177.
  • Handle: RePEc:jae:japmet:v:18:y:2003:i:2:p:157-177
    DOI: 10.1002/jae.673
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