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Estimation of Household Expenditure Functions:An Application of a Class of Heteroscedastic Regression Models

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  • GEORGE E. BATTESE
  • BRUCE P. BONYHADY

Abstract

A class of heteroscedastic regression models is applied to the estimation of household expenditure functions using data from the 1966‐68 Macquarie University survey. Under the assumption that expenditure observations are normally distributed, the hypothesis that their variances are proportional to the squares of their expectations is investigated. In addition, the hypotheses tests derived by Amemiya (1973a) for discriminating between heteroscedastic regression models with gamma or lognormal distributions are applied to the same expenditure data.

Suggested Citation

  • George E. Battese & Bruce P. Bonyhady, 1981. "Estimation of Household Expenditure Functions:An Application of a Class of Heteroscedastic Regression Models," The Economic Record, The Economic Society of Australia, vol. 57(1), pages 80-85, March.
  • Handle: RePEc:bla:ecorec:v:57:y:1981:i:1:p:80-85
    DOI: 10.1111/j.1475-4932.1981.tb01703.x
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    References listed on IDEAS

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    1. N. Podder, 1971. "Patterns of Household Consumption Expenditures in Australia," The Economic Record, The Economic Society of Australia, vol. 47(3), pages 379-398, September.
    2. Podder, N, 1971. "Patterns of Household Consumption Expenditures in Australia," The Economic Record, The Economic Society of Australia, vol. 47(119), pages 379-398, September.
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    Cited by:

    1. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    2. R. A. Bewley, 1982. "On the Functional Form of Engel Curves: The Australian Household Expenditure Survey 1975–76," The Economic Record, The Economic Society of Australia, vol. 58(1), pages 82-91, March.
    3. Grignon, Julie & Vaillancourt, François, 1988. "Revenu, caractéristiques sociodémographiques et dépenses des ménages au Canada en 1978 et 1982," L'Actualité Economique, Société Canadienne de Science Economique, vol. 64(2), pages 231-250, juin.

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