Evaluating Prior Beliefs in a Demand System: The Case of Meat Demand in Canada
用加拿大数据估计肉类需求的几乎理想需求系统，通过贝叶斯方法施加替代弹性不等式约束，结果比额外限制所有肉类为替代品更符合需求理论的凹性和单调性。
Abstract 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.