Estimation of Censored Demand Equations from Large Cross‐Section Data
提出一种替代计量方法，利用哥伦比亚城市家庭的大截面数据估计删失需求方程组，通过Tobit模型和Jackknife技术处理零支出行为，并恢复符合消费者理论的需求参数。
Abstract The article develops an alternative econometric methodology to estimate a system of censored demand equations using a large cross‐section data from Colombian urban households. The approach preserves the behavioralinformation expressed by zero expenditures and conforms with the requirements imposed by consumer theory in a way consistent with the random utility hypothesis. We motivate the choice of the Tobit modelas a statistical representation of consumer behavior and introduce the methodology by specifying the AIDS model modified according to both a translating and scaling demographic transformation. We propose to estimate each demand equation in unrestricted form using the jackknife technique. We then recover the demand parameters imposing the cross‐equations restrictions by using minimum distance estimation. The empirical results of the censored demand system for specific households of policy relevance are reported.