Compensated Discrete Choice with Particular Reference to Labor Supply

J. Dagsvik, S. Strøm, Marilena Locatelli
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Abstract

Dagsvik and Karlstrom (2005) have demonstrated how one can compute Compensating Variation and Compensated Choice Probabilities by means of analytic formulas in the context of discrete choice models. In this paper we offer a new and simplified derivation of the compensated probabilities. Subsequently, we discuss the application of this methodology to compute compensated labor supply responses (elasticities) in a particular discrete choice labor supply model. Whereas the Slutsky equation holds in the case of the standard microeconomic model with deterministic preferences, this is not so in the case of random utility models. When the non-labor income elasticity is negative the Slutsky equation implies that the compensated wage elasticity is higher than the uncompensated one. In contrast, in our random utility model we show empirically that in a majority of cases the uncompensated wage elasticity is in fact the highest one. We also show that when only the deterministic part of the utility function is employed to yield optimal hours and related elasticities, these elasticities are numerically much higher and decline more sharply across deciles than the random utility ones.
特别考虑劳动力供给的补偿离散选择
Dagsvik和Karlstrom(2005)展示了如何在离散选择模型的背景下通过解析公式计算补偿变化和补偿选择概率。本文给出了补偿概率的一种新的简化推导。随后,我们讨论了该方法在特定的离散选择劳动供给模型中计算有偿劳动供给响应(弹性)的应用。尽管斯卢茨基方程适用于具有确定性偏好的标准微观经济模型,但在随机实用新型的情况下却并非如此。当非劳动收入弹性为负时,斯卢茨基方程表明有补偿的工资弹性高于无补偿的工资弹性。相反,在我们的随机实用模型中,我们的经验表明,在大多数情况下,未补偿的工资弹性实际上是最高的。我们还表明,当仅使用效用函数的确定性部分来产生最佳工时和相关弹性时,这些弹性在数值上要高得多,并且在十分位数上比随机效用函数下降得更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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