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On the Estimation of Demand Systems Through Consumption Efficiency

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  • Eduardo Ley

    (Resources for the Future)

  • Mark F.J. Steel

Abstract

We consider a Bayesian implementation of a new approach to estimating Demand Systems. This approach, suggested by Varian (1990), is based on a generalization of Afriat's (1967) efficiency index. The model we propose leads to a very tractable posterior and predictive analysis, yet allows for interesting economic interpretations. We conduct a sensitivity analysis with respect to the prior in an application to annual aggregate U.S. consumption data, and conclude that the sample is quite informative. Average efficiency and expected budget shares are examined in some detail.

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Bibliographic Info

Paper provided by EconWPA in its series Econometrics with number 9503001.

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Date of creation: 21 Mar 1995
Date of revision: 22 Feb 1996
Handle: RePEc:wpa:wuwpem:9503001

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Web page: http://128.118.178.162

Related research

Keywords: Bayesian Methods; Budget Shares; Money-Metric Utility; Monte Carlo;

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  1. Koop, Gary & Osiewalski, Jacek & Steel, Mark F J, 1994. "Bayesian Efficiency Analysis with a Flexible Form: The AIM Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 339-46, July.
  2. Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-39, November.
  3. KOOP, Gary & STEEL, Mark F. & OSIEWALSKI, Jacek, 1994. "Posterior Analysis of Stochastic Frontier Models using Gibbs Sampling," CORE Discussion Papers 1994061, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  4. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
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Cited by:
  1. Oh, Inha & Lee, Jeong-Dong & Hwang, Seogwon & Heshmati, Almas, 2006. "Analysis of Product Efficiency in the Korean Automobile Market from a Consumer’s Perspective," Ratio Working Papers 95, The Ratio Institute.

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