估算可分离匹配模型

IF 2.3 3区 经济学 Q2 ECONOMICS Journal of Applied Econometrics Pub Date : 2024-06-04 DOI:10.1002/jae.3061
Alfred Galichon, Bernard Salanié
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引用次数: 0

摘要

最近对可转移效用匹配的大多数实证应用都施加了一个自然限制:联合剩余在未观察到的异质性来源中是可分离的。我们在此提出两种简单的方法来估计这类模型。第一种方法是最小距离估计法,它依赖于匹配的广义熵。第二种方法适用于更特殊但更流行的 Choo 和 Siow 模型,该模型可重构为具有双向固定效应的广义线性模型。这两种方法都不需要求解稳定匹配。这两种方法都易于应用,而且效果非常好。
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Estimating separable matching models

Most recent empirical applications of matching with transferable utility have imposed a natural restriction: that the joint surplus be separable in the sources of unobserved heterogeneity. We propose here two simple methods to estimate models in this class. The first method is a minimum distance estimator that relies on the generalized entropy of matching. The second applies to the more special but popular Choo and Siow model, which reformulates as a generalized linear model with two-way fixed effects. Neither method requires solving for the stable matching. Both methods are easy to apply and perform very well.

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来源期刊
CiteScore
3.70
自引率
4.80%
发文量
63
期刊介绍: The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.
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