EVALUATING PRIOR BELIEFS IN A DEMAND SYSTEM - THE CASE OF MEAT DEMAND IN CANADA

被引：56
作者：
CHALFANT, JA
GRAY, RS
WHITE, KJ
机构：
[1] UNIV SASKATCHEWAN,AGR ECON,SASKATOON S7N 0W0,SASKATCHEWAN,CANADA
[2] UNIV BRITISH COLUMBIA,ECON,VANCOUVER V6T 1W5,BC,CANADA
来源：
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS | 1991年 / 73卷 / 02期
关键词：
ALMOST IDEAL DEMAND SYSTEM; BAYESIAN INFERENCE; INEQUALITY CONSTRAINTS; MEATS DEMAND;
D O I：
10.2307/1242732
中图分类号：
F3 [农业经济];
学科分类号：
0202 ; 020205 ; 1203 ;
摘要：
An almost ideal demand system for meats is estimated using Canadian data. A Bayesian approach is used to impose inequality restrictions on substitution elasticities, via Monte Carlo integration and importance sampling, in order to conform with prior beliefs about curvature and monotonicity restrictions and substitution relationships. Results are more consistent with the concavity and monotonicity restrictions from demand theory than with the added restriction that all meats are substitutes.
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收藏
页码：476 / 490
页数：15
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