An edition of Ownership and wages (2007)

Ownership and wages

estimating public-private and foreign-domestic differentials using leed from hungary, 1986-2003

Ownership and wages
John S. Earle, John S. Earle
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Last edited by MARC Bot
December 19, 2020 | History
An edition of Ownership and wages (2007)

Ownership and wages

estimating public-private and foreign-domestic differentials using leed from hungary, 1986-2003

"Studies of public-private and foreign-domestic wage differentials face difficulties distinguishing ownership effects from correlated characteristics of workers and firms. This paper estimates these ownership differentials using linked employer-employee data (LEED) from Hungary containing 1.35mln worker-year observations for 21,238 firms from 1986 to 2003. We find that ownership type is highly correlated with characteristics of both workers (education, experience, gender, and occupation) and firms (size, industry, and productivity), suggesting ownership type is systematically selected along these dimensions. The large unconditional wage gaps (0.24 for public-private and 0.40 for foreign-domestic) in the data are little affected by conditioning on worker characteristics, but controlling for industry reduces the public and foreign premia (to 0.16 and 0.34, respectively), and controlling for employment size further reduces them (to 0.07 and 0.28). We also exploit the presence of 3,700 switches of ownership type in the data to estimate firm fixed-effects and random trend models, accounting for unobserved firm characteristics affecting the average level and trend growth of wages. These controls have little effect on the conditional public-private gap, but they reduce the estimated foreign premium (to 0.07). The results imply that the substantial unconditional wage differentials are mostly, but not entirely, a function of differences in worker and firm characteristics, and that linked panel data are necessary to take these correlated factors into account"--National Bureau of Economic Research web site.

Publish Date
Language
English

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Book Details


Edition Notes

Title from PDF file as viewed on 6/1/2007.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series -- working paper 12997, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 12997.

Classifications

Library of Congress
HB1

The Physical Object

Format
Electronic resource

ID Numbers

Open Library
OL16323173M
LCCN
2007615151

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