G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w5001
来源IDWorking Paper 5001
Empirical Matching Functions: Estimation and Interpretation Using Disaggregate Data
Patricia M. Anderson; Simon M. Burgess
发表日期1995
出版年1995
语种英语
摘要In this paper, we estimate matching functions using disaggregate data. We find strong support for the matching approach, with most specifications implying slightly increasing returns to scale. This finding does not appear to arise from our inclusion of additional controls or from the level of disaggregation, and so we conclude that earlier findings of constant returns in the US may be due to the various approximations needed to construct an aggregate time series. We also find evidence of endogenous job competition between the employed and nonemployed, so that the estimated parameters from a matching function cannot be interpreted as structural parameters.
主题Labor Economics ; Unemployment and Immigration
URLhttps://www.nber.org/papers/w5001
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/562425
推荐引用方式
GB/T 7714
Patricia M. Anderson,Simon M. Burgess. Empirical Matching Functions: Estimation and Interpretation Using Disaggregate Data. 1995.
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