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【学术科研】上财经院林熙榕助教授合作论文在计量经济学顶级期刊Journal of Econometrics上在线发表

时间:2021-09-24

近日,上财经院数量经济学系林熙榕助教授与Arthur LewbelBoston College)的合作论文Identification of Semiparametric Model Coefficients, With an Application to Collective Households在计量经济学顶级期刊、我校认定的经济学国际一类期刊Journal of Econometrics上在线发表。

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论文摘要

We prove identification of coefficients for a set of semiparametric specifications that are related to multiple index models. Potential applications of these results include models of observed heterogeneity in production functions and in consumer demand systems. We then generalize these results to identify a class of collective household consumption models. We extend the existing literature by proving point identification, rather than the weaker generic identification, of all the features of the collective household model, including price effects. We estimate the model using Japanese consumption data, and find substantial variation in resource shares and indifference scales across households of different sizes.

作者介绍

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林熙榕助教授为我院2020年引进的“常任轨”(Tenure-track)教师,博士毕业于美国波士顿学院,研究领域包括:家庭经济学、应用计量经济学、劳动经济学。

 

(供稿/图:宋玥  林熙榕)


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