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Testing for negativity in a demand system: A Bayesian approach

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Author Info
Hideo Kozumi () (Faculty of Economics and Business Administration, Hokkaido University, Nishi 7, Kita 9, Kita-ku, Sapporo 060-0809, Japan)
Noriko Hashimoto () (Faculty of Economics, Kansai University, 3-3-35 Yamata, Suita, Osaka 564-8680, Japan)
Hikaru Hasegawa () (Faculty of Economics and Business Administration, Hokkaido University, Nishi 7, Kita 9, Kita-ku, Sapporo 060-0809, Japan)
Abstract

The paper introduces Bayesian inference into a demand model. This allows us to test for the negativity condition of the substitution matrix which is difficult to handle directly in the traditional approach. To illustrate the Bayesian inference procedures, we estimate the Rotterdam model and test the demand properties using Japanese data. The empirical results show the importance of specifically considering negativity in demand analysis.

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Publisher Info
Article provided by Springer in its journal Empirical Economics.

Volume (Year): 24 (1999)
Issue (Month): 2 ()
Pages: 211-223
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Handle: RePEc:spr:empeco:v:24:y:1999:i:2:p:211-223

Note: received: September 1997/final version received: February 1998
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Related research
Keywords: Markov chain Monte Carlo (MCMC) · conditional predictive ordinate (CPO) · Bayes factor · Rotterdam model;

Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

Cited by:
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  1. Eales, James & Henderson, Jason, 2000. "The Impact Of Negativity On Separability Testing," 2000 Annual meeting, July 30-August 2, Tampa, FL 21817, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association). [Downloadable!]
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