Explaining Gender Wage Differentials: Findings from a Random Effects Model
AbstractIn this paper we evaluate the extent to which the gender wage gap in the Finnish manufacturing sector is attributable to within-job wage differentials, sex differences in individual qualifications, and disproportionate concentration of women in lower-paying firms and lower-paying jobs within firms. We use matched employer-employee data to compare wage differentials between similarly qualified female and male workers who are doing the same job for the same employer. Our modelling approach employs a nested random effects specification to account for the hierarchical grouped structure of the underlying data. White-collar women are found to earn 22% less on average than their male counterparts do. Among blue-collar workers, women?s mean wage is 16% lower than men?s mean wage. The major part of the gender wage gap of white-collar workers results from sex segregation among jobs within firms. By contrast, most of the gap of blue-collar workers is attributable to sex segregation among firms. Unexplained within-job wage differentials account for a quarter of the overall gap of white-collar workers and one-fifth of the overall gap of blue-collar workers.
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Bibliographic InfoPaper provided by Government Institute for Economic Research Finland (VATT) in its series Discussion Papers with number 320.
Date of creation: 18 Dec 2003
Date of revision:
Find related papers by JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- L00 - Industrial Organization - - General - - - General
- J70 - Labor and Demographic Economics - - Labor Discrimination - - - General
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
- J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
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- Erica L. Groshen, 1987.
"The structure of the female/male wage differential: is it who you are, what you do, or where you work?,"
8708, Federal Reserve Bank of Cleveland.
- Erica L. Groshen, 1991. "The Structure of the Female/Male Wage Differential: Is It Who You Are, What You Do, or Where You Work?," Journal of Human Resources, University of Wisconsin Press, vol. 26(3), pages 457-472.
- Kenneth R Troske & Kimberly N Bayard & Judith Hellerstein & David Neumark, 1998.
"New Evidence On Sex Segregation And Sex Differences In Wages From Matched Employee-Employer Data,"
98-18, Center for Economic Studies, U.S. Census Bureau.
- Kimberly Bayard & Judith Hellerstein & David Neumark & Kenneth Troske, 2003. "New Evidence on Sex Segregation and Sex Differences in Wages from Matched Employee-Employer Data," Journal of Labor Economics, University of Chicago Press, vol. 21(4), pages 887-922, October.
- Kimberly Bayard & Judith Hellerstein & David Neumark & Kenneth Troske, 1999. "New Evidence on Sex Segregation and Sex Differences in Wages from Matched Employee-Employer Data," NBER Working Papers 7003, National Bureau of Economic Research, Inc.
- Davis, Peter, 2002. "Estimating multi-way error components models with unbalanced data structures," Journal of Econometrics, Elsevier, vol. 106(1), pages 67-95, January.
- Francine D. Blau & Lawrence M. Kahn, 2000.
"Gender Differences in Pay,"
Journal of Economic Perspectives,
American Economic Association, vol. 14(4), pages 75-99, Fall.
- Joseph G. Altonji & Rebecca M. Blank, .
"Race and Gender in the Labor Market,"
IPR working papers
98-18, Institute for Policy Resarch at Northwestern University.
- Nabanita Datta Gupta & Donna S. Rothstein, 2005.
"The Impact of Worker and Establishment-level Characteristics on Male-Female Wage Differentials: Evidence from Danish Matched Employee-Employer Data,"
CEIS, vol. 19(1), pages 1-34, 03.
- Gubta, Nabanita Datta & Rothstein, Donna S., 2001. "The Impact of Worker and Establishment-level Characteristics on Male-Female Wage Differentials: Evidence from Danish Matched Employee-Employer Data," CLS Working Papers 01-9, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
- H. Baltagi, Badi & Heun Song, Seuck & Cheol Jung, Byoung, 2001. "The unbalanced nested error component regression model," Journal of Econometrics, Elsevier, vol. 101(2), pages 357-381, April.
- Korkeamaki, Ossi & Kyyra, Tomi, 2006. "A gender wage gap decomposition for matched employer-employee data," Labour Economics, Elsevier, vol. 13(5), pages 611-638, October.
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