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The rank and model specification of demand systems: an empirical analysis using United States microdata

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  • Christopher J. Nicol

Abstract

A rank‐three demand system is estimated with United States Consumer Expenditure Survey microdata. A unique price data set is also used, which permits the analysis of effects of systematic errors in price variables. It is found that errors in price variables bias test results for the rank‐three hypothesis, in particular towards rejection. Other test results are affected to a lesser extent. Estimating smaller systems of demand equations, even when conditioning on excluded goods, yields significantly different results. Another important conclusion is that model specification is statistically significantly different for households of varying family sizes and housing tenure statuses. JEL Classifications: C31, D12. Le rang et la spécification du modèle des systèmes de demande: une analyse empirique utilisant des microdonnées américaines. On calibre un système de demande de rang trois à l'aide de microdonnées américaines tirées de la United States Consumer Expenditures Survey. Un ensemble unique de prix est utilisé afin de permettre l'analyse des effets d'erreurs systématiques dans les variables de prix. Il appert que les erreurs dans les variables de prix distorsionnent les résultats du test de l'hypothèse de rang trois en faveur d'un rejet. D'autres résultats de tests sont affectés à un moindre degré. Si l'on calibre de plus petits systèmes d'équations de demande, même en posant des conditions sur des biens exclus, des résultats qui diffèrent de manière significative s'ensuivent. Une autre conclusion importante est que la spécification du modèle est différente de manière statistiquement significative pour les ménages selon la taille de la famille et le statut domiciliaire.

Suggested Citation

  • Christopher J. Nicol, 2001. "The rank and model specification of demand systems: an empirical analysis using United States microdata," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 34(1), pages 259-289, February.
    • Handle: RePEc:wly:canjec:v:34:y:2001:i:1:p:259-289
    DOI: 10.1111/0008-4085.00074
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    Cited by:

    1. Panayiota Lyssiotou, 2003. "On estimating the cost of characteristics indices from consumer demand analysis," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(2), pages 326-349, May.
    2. Tiezzi, Silvia & Verde, Stefano F., 2016. "Differential demand response to gasoline taxes and gasoline prices in the U.S," Resource and Energy Economics, Elsevier, vol. 44(C), pages 71-91.
    3. Fortuna, Natercia, 2008. "Local rank tests in a multivariate nonparametric relationship," Journal of Econometrics, Elsevier, vol. 142(1), pages 162-182, January.
    4. Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, 2006. "A Residential Energy Demand System for Spain," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 87-112.
    5. Boonsaeng, Tullaya & Carpio, Carlos E., 2017. "Budget Allocation Patterns of American Household across Income Level in the 21 Century," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258245, Agricultural and Applied Economics Association.
    6. Desiderio Romero-Jordán & José Félix Sanz-Sanz, 2009. "Energy Taxes and Household Compliance with the Kyoto Protocol," Public Finance Review, , vol. 37(2), pages 142-169, March.
    7. Abiodun Elijah Obayelu & V.O. Okoruwa & O.I.Y. Ajani, 2009. "Cross‐sectional analysis of food demand in the North Central, Nigeria," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 1(2), pages 173-193, January.
    8. Nicol, C. J., 2003. "Elasticities of demand for gasoline in Canada and the United States," Energy Economics, Elsevier, vol. 25(2), pages 201-214, March.
    9. Donald, Stephen G. & Fortuna, Natércia & Pipiras, Vladas, 2011. "Local and Global Rank Tests for Multivariate Varying-Coefficient Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 295-306.
    10. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875, August.
    11. Lyssiotou, Panayiota, 2012. "Demographics and demand: Evaluation of alternative functional forms," Economics Letters, Elsevier, vol. 117(3), pages 627-631.
    12. Takashi Unayama, 2006. "The Engel curve for alcohol and the rank of demand systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1019-1038.
    13. Paul Oslington, 2012. "General Equilibrium: Theory and Evidence," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 446-448, September.

    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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