On the Estimation of Demand Systems Through Consumption Efficiency
AbstractWe 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 InfoPaper provided by EconWPA in its series Econometrics with number 9503001.
Date of creation: 21 Mar 1995
Date of revision: 22 Feb 1996
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Bayesian Methods; Budget Shares; Money-Metric Utility; Monte Carlo;
Other versions of this item:
- Ley, Eduardo & Steel, Mark F J, 1996. "On the Estimation of Demand Systems through Consumption Efficiency," The Review of Economics and Statistics, MIT Press, vol. 78(3), pages 539-43, August.
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
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1994-13, Tilburg University, Center for Economic Research.
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- Inha Oh & Jeong-Dong Lee & Seogwon Hwang & Almas Heshmati, 2010. "Analysis of product efficiency in the Korean automobile market from a consumer’s perspective," Empirical Economics, Springer, vol. 38(1), pages 119-137, February.
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