英文文献：Food Demand In Mexico: A Quasi-Maximum Likelihood Approach-墨西哥的粮食需求:准最大可能性方法
英文文献作者：Gould, Brian W.,Yen, Steven T.
英文文献摘要：
A growing trend in demand analysis during the last two decades is the use of household survey data. Detailed demographic information collected in these surveys allows treatment of heterogeneous preference and the typically large sample also allows estimation of large demand system that are otherwise not possible with aggregate time series. However, the use of household-level data is complicated by the censoring of the dependent variable especially for systems with disaggregated commodity definitions. To overcome the numerical problem of evaluating truncated multi-dimensional error term distributions, a Quasi-maximum likelihood method is used to estimate a censored 9-commodity demand system for a sample of urban Mexican households. The impacts of changes in price and expenditures are quantified as are the impacts of alternative household compositions evaluated via the use of an endogenously determined equivalence scale.

在过去二十年中，需求分析的一个增长趋势是使用住户调查数据。在这些调查中收集的详细的人口统计信息允许处理异质偏好，典型的大样本也允许估计大需求系统，否则在聚合时间序列中是不可能的。然而，由于因变量的审查，尤其是对商品定义分类的系统，家庭水平数据的使用变得复杂。为了克服估计截断的多维误差项分布的数值问题，本文使用拟极大似然法估计了一个墨西哥城市家庭样本的截尾9种商品需求系统。价格和支出变化的影响被量化，其他家庭组成的影响也通过使用内生性确定的等值尺度进行评估。