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摘要翻译：
当Agent的选择集不可观测时，我们提出了一种鲁棒的离散选择分析方法。我们的核心模型不假设代理人的选择集，除了他们的最小大小。重要的是，它使选择集和首选项之间的依赖关系不受限制，条件是可观察到的。我们首先用有限组条件矩不等式刻画了模型参数的锐利辨识区域。然后，我们应用我们的理论发现，从汽车碰撞保险的免赔额选择数据中了解家庭的风险偏好和选择集。我们发现，在低风险厌恶水平和异质非单一选择集的情况下，这些数据可以用期望效用理论来解释，超过四分之三的家庭需要有限选择集来解释他们的可扣除选择。我们还提供了模拟证据，证明了我们的方法在较大可行集或高维未观测异质性应用中的计算可处理性。
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英文标题：
《Heterogeneous Choice Sets and Preferences》
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作者：
Levon Barseghyan, Maura Coughlin, Francesca Molinari, Joshua C.
Teitelbaum
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最新提交年份：
2021
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分类信息：
一级分类：Economics 经济学
二级分类：Econometrics 计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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英文摘要：
We propose a robust method of discrete choice analysis when agents' choice sets are unobserved. Our core model assumes nothing about agents' choice sets apart from their minimum size. Importantly, it leaves unrestricted the dependence, conditional on observables, between choice sets and preferences. We first characterize the sharp identification region of the model's parameters by a finite set of conditional moment inequalities. We then apply our theoretical findings to learn about households' risk preferences and choice sets from data on their deductible choices in auto collision insurance. We find that the data can be explained by expected utility theory with low levels of risk aversion and heterogeneous non-singleton choice sets, and that more than three in four households require limited choice sets to explain their deductible choices. We also provide simulation evidence on the computational tractability of our method in applications with larger feasible sets or higher-dimensional unobserved heterogeneity.
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PDF链接：
https://arxiv.org/pdf/1907.02337
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