Hoffman S D, Duncan G J
Department of Economics, University of Delaware, Newark 19716.
Demography. 1988 Aug;25(3):415-27.
Although discrete-choice statistical techniques have been used with increasing regularity in demographic analyses, McFadden's conditional logit model is less well known and seldom used. Conditional logit models are appropriate when the choice among alternatives is modeled as a function of the characteristics of the alternatives, rather than (or in addition to) the characteristics of the individual making the choice. We argue that this feature of conditional logit makes it more appropriate for estimating behavioral models. In this article, the conditional logit model is presented and compared with the more familiar multinomial logit model. The difference between the two techniques is illustrated with an analysis of the choice of marital and welfare status by divorced or separated women.
尽管离散选择统计技术在人口分析中的使用越来越频繁，但麦克法登的条件logit模型却鲜为人知且很少被使用。当备选方案之间的选择被建模为备选方案特征的函数，而不是（或除了）做出选择的个体特征的函数时，条件logit模型是合适的。我们认为，条件logit的这一特性使其更适合于估计行为模型。在本文中，我们介绍了条件logit模型，并将其与更为人熟知的多项logit模型进行了比较。通过对离婚或分居女性的婚姻和福利状况选择的分析，说明了这两种技术之间的差异。
