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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...
Persistent link: https://www.econbiz.de/10005248670
Using quarterly data to estimate state-level matching functions, we obtain point estimates that are slightly higher than are found with national gross flows data, likely because of inherent differences in the data sources. We also estimate matching functions separately by the source of the new...
Persistent link: https://www.econbiz.de/10005815344
Persistent link: https://www.econbiz.de/10001456369
Persistent link: https://www.econbiz.de/10006386533
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...
Persistent link: https://www.econbiz.de/10012473897
Persistent link: https://www.econbiz.de/10007007683
Persistent link: https://www.econbiz.de/10013416762
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...
Persistent link: https://www.econbiz.de/10013244376