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Empirical matching functions : estimation and interpretation using disaggregate data Preview this item
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Empirical matching functions : estimation and interpretation using disaggregate data

Author: Patricia M Anderson; Simon M Burgess; National Bureau of Economic Research.
Publisher: Cambridge, MA : National Bureau of Economic Research, ©1994, [i.e. 1995]
Series: Working paper series (National Bureau of Economic Research), working paper no. 5001.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Abstract: 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  Read more...
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Details

Genre/Form: Statistics
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Patricia M Anderson; Simon M Burgess; National Bureau of Economic Research.
OCLC Number: 51271510
Notes: "January 1995."
Description: 1 online resource (18, 6 [7] pages) : illustrations.
Series Title: Working paper series (National Bureau of Economic Research), working paper no. 5001.
Responsibility: Patricia M. Anderson, Simon M. Burgess.

Abstract:

Abstract: 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.
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