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Modelling zeroes in microdata

Author

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  • Jane Fry
  • Tim Fry
  • Keith McLaren
  • Tanya Smith

Abstract

Although the literature contains a number of suggestions for dealing with problems caused by a preponderance of zero expenditure observations that frequently occur in micro level budget studies, in general, these suggestions seem to be either empirically intractable or theoretically unappealing. In this paper it is argued that a natural theoretical specification can be motivated by duality theory and that the statistical technique of compositional data analysis provides a corresponding complementary stochastic specification. The resulting model is a consistent theoretical and stochastic specification for handling the possibility of a zero demand over a range of expenditures and/or prices. The model is then applied to the 1988/89 Australian Household Expenditure Survey.

Suggested Citation

  • Jane Fry & Tim Fry & Keith McLaren & Tanya Smith, 2001. "Modelling zeroes in microdata," Applied Economics, Taylor & Francis Journals, vol. 33(3), pages 383-392.
  • Handle: RePEc:taf:applec:v:33:y:2001:i:3:p:383-392
    DOI: 10.1080/00036840122916
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    Citations

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    Cited by:

    1. Terence Mills, 2010. "Forecasting compositional time series," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(4), pages 673-690, June.
    2. Hikaru Hasegawa & Kazuhiro Ueda & Kunie Mori, 2008. "Estimation of Engel Curves from Survey Data with Zero Expenditures," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 535-558, August.
    3. Bente Halvorsen & Runa Nesbakken, 2004. "Accounting for differences in choice opportunities in analyses of energy expenditure," Discussion Papers 400, Statistics Norway, Research Department.

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