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Modelling zeroes in microdata


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


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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    References listed on IDEAS

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    8. Allen, Chris & Urga, Giovanni, 1999. "Interrelated Factor Demands from Dynamic Cost Functions: An Application to the Non-energy Business Sector of the UK Economy," Economica, London School of Economics and Political Science, vol. 66(263), pages 403-413, August.
    9. Cecilia Garcia-Penalosa & Eve Caroli & Philippe Aghion, 1999. "Inequality and Economic Growth: The Perspective of the New Growth Theories," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1615-1660, December.
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    12. repec:dau:papers:123456789/10091 is not listed on IDEAS
    13. Julian R. Betts, 1997. "The Skill Bias Of Technological Change In Canadian Manufacturing Industries," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 146-150, February.
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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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