Bayesian Estimation of a Censored Linear Almost Ideal Demand System: Food Demand in Pakistan
使用贝叶斯马尔可夫链蒙特卡洛方法估计巴基斯坦城市家庭食品需求的删失线性几乎理想需求系统，发现自身价格弹性多为负、总支出弹性为正，并分析了家庭特征和地区差异的影响。
A censored linear almost ideal demand system for food is estimated with a Bayesian Markov chain Monte Carlo procedure, using a sample of urban households from Pakistan. All own‐price elasticities but one are found to be negative, and all total food expenditure elasticities are found to be positive, with a high posterior probability. There is a mix of gross complements and substitutes among the food products, while net substitution is the predominant pattern. Household characteristics play a role in food expenditures, and regional differences exist. These demand elasticities can inform policy deliberations by the national government and international organizations.