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On the Estimation of Demand Systems Through Consumption Efficiency

Bibliographic Data

ID19313449
AuthorsEduardo Ley (Resources For The Future), Mark F J Steel (0000-0001-9858-9279, Tilburg University)
Year1996
Volume78
Issue3
Pages539
Publication date1996-08-01
Open AccessNo
TypeARTICLE
VenueThe Review of Economics and Statistics (JOURNAL)
Journal identifiersISSN: 0034-6535 • E-ISSN: 1530-9142
PublisherJSTOR (PUBLISHER)
DOI10.2307/2109801
OpenAlexW1500748890
LanguageEN
References cited2

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) e-ciency 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 e-ciency and expected budget shares are examined in some detail

Consumption (sociology) · Econometrics · Economics · Estimation · Natural resource economics · Consumer Market Behavior and Pricing · Economic and Environmental Valuation · Economics of Agriculture and Food Markets

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