Sharp Bounds for the Roy Model

Ismael Mourifié, Marc Henry, Romuald Méango
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引用次数: 13

Abstract

We analyze the empirical content of the Roy model, stripped down to its essential features, namely sector specific unobserved heterogeneity and self selection on the basis of potential outcomes. We characterize sharp bounds on the joint distribution of potential outcomes and the identifying power of exclusion restrictions. The latter include variables that affect market conditions only in one sector and variables that affect sector selection only. Special emphasis is put on the case of binary outcomes, which has received little attention in the literature to date. For richer sets of outcomes, we emphasize the distinction between pointwise sharp bounds and functional sharp bounds, and its importance, when constructing sharp bounds on functional features, such as inequality measures.
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罗伊模型的夏普边界
我们分析了罗伊模型的经验内容,将其剥离到其基本特征,即部门特定的未观察到的异质性和基于潜在结果的自我选择。我们描述了潜在结果联合分布的尖锐界限和排除限制的识别能力。后者包括只影响一个行业市场条件的变量和只影响行业选择的变量。特别强调了二元结果的情况,这在迄今为止的文献中很少受到关注。对于更丰富的结果集,我们强调了点锐界和函数锐界之间的区别,以及它在函数特征(如不等式测度)上构造锐界时的重要性。
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