二元选择模型的经验内容

Debopam Bhattacharya
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引用次数: 9

摘要

实证需求分析的一个重要目标是对潜在政策干预产生的反事实预算集的选择和福利预测。如果没有任意的功能形式/分配假设,而仅仅基于经济理性,也就是说,选择与异质人口的效用最大化是一致的,这样的预测更可信。本文在二元选择的重要经验背景下研究了非参数经济合理性。我们证明了在一般未观察到的异质性下,经济理性等价于选择概率函数上的一对Slutsky - like形状限制。这些限制的形式不同于连续商品的Slutsky不等式。与McFadden-Richter的随机显示偏好不同,我们的形状限制(a)是全局的,也就是说,它们的形式不依赖于观察到的预算集的种类和数量,(b)是封闭的形式,因此在实际应用中容易强加于参数/半/非参数模型,以及(c)提供计算简单,理论一致的需求边界和反事实预算集的福利预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Empirical Content of Binary Choice Models
An important goal of empirical demand analysis is choice and welfare prediction on counterfactual budget sets arising from potential policy interventions. Such predictions are more credible when made without arbitrary functional‐form/distributional assumptions, and instead based solely on economic rationality, that is, that choice is consistent with utility maximization by a heterogeneous population. This paper investigates nonparametric economic rationality in the empirically important context of binary choice. We show that under general unobserved heterogeneity, economic rationality is equivalent to a pair of Slutsky‐like shape restrictions on choice‐probability functions. The forms of these restrictions differ from Slutsky inequalities for continuous goods. Unlike McFadden–Richter's stochastic revealed preference, our shape restrictions (a) are global, that is, their forms do not depend on which and how many budget sets are observed, (b) are closed form, hence easy to impose on parametric/semi/nonparametric models in practical applications, and (c) provide computationally simple, theory‐consistent bounds on demand and welfare predictions on counterfactual budge sets.
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