Petreski, Marjan and Mojsoska-Blazevski, Nikica and Petreski, Blagica (2014): Gender wage gap when women are highly inactive: Evidence from repeated imputations with Macedonian data.
Preview |
PDF
MPRA_paper_57226.pdf Download (1MB) | Preview |
Abstract
The objective of this research is to understand if large gender employment and participation gaps in Macedonia can shed some light on the gender wage gap. A large contingent of inactive women in Macedonia including long-term unemployed due to the transition process, female remittance receivers from the male migrant, unpaid family workers in agriculture and so on, is outside employment, but is not necessarily having the worst labour-market characteristics. In addition, both gender wage gap and participation gap enlarge as education decreases, revealing the importance of non-random selection of women into employment. Though, the standard Heckman-type correction of the selectivity bias suggests that non-random selection exists, but the resulting wage gap remains at the same level even when selection has been considered. Instead, we perform repeated wage imputations for those not in work, by simply making assumptions on the position of the imputed wage observation with respect to the median. Then, we assess the impact of selection into employment by comparing estimated wage gaps on the base sample versus on an imputed sample. The main result is that selection explains most of the gender wage gap in the primary-education group (75%), followed by the secondary-education group (55%). In the tertiary group, the small initial gap vanishes once selection considered. This suggests that indeed non-working women are not those with the worst labour-market characteristics. Results suggest that gender wage discrimination in Macedonia is actually between 5.4% and 9.8% and does not exist for the highly-educated women. The inability of the Heckman-type correction to document a role for selection in explaining the gender wage gap may be due to the criticisms to the exclusion restrictions and the large amount of missing wages.
Item Type: | MPRA Paper |
---|---|
Original Title: | Gender wage gap when women are highly inactive: Evidence from repeated imputations with Macedonian data |
English Title: | Gender wage gap when women are highly inactive: Evidence from repeated imputations with Macedonian data |
Language: | English |
Keywords: | gender wage gap, gender participation gap, selection bias, repeated imputations |
Subjects: | E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E24 - Employment ; Unemployment ; Wages ; Intergenerational Income Distribution ; Aggregate Human Capital ; Aggregate Labor Productivity J - Labor and Demographic Economics > J1 - Demographic Economics > J16 - Economics of Gender ; Non-labor Discrimination J - Labor and Demographic Economics > J3 - Wages, Compensation, and Labor Costs > J31 - Wage Level and Structure ; Wage Differentials |
Item ID: | 57226 |
Depositing User: | Marjan Petreski |
Date Deposited: | 10 Jul 2014 13:49 |
Last Modified: | 28 Sep 2019 22:33 |
References: | Albrecht, J., A. van Vuuren and S. Vroman (2004) Decomposing the Gender Wage Gap in the Netherlands with Sample Selection Adjustment. IZA DP No. 1400. Altonji, J. and R. Blank (1999) Race and Gender in the Labor Market. In: O. Ashenfelter and D. Card (eds.) Handbook of Labor Economics, North-Holland, volume 3C: 3141-3259. Angel-Urdinola, D. F. (2008) Can the Introduction of a Minimum Wage in FYR Macedonia Decrease the Gender Wage Gap? Social Policy Discussion Paper No. 0837, Washington DC: World Bank. Angel-Urdinola, D. F. and Macias, V. (2008) FYR Macedonia Labour Market Profile 2004-2007: A Policy Note. Washington, DC: World Bank Arandarenko, M., Vujic, S., Vladisavljevic, M. (2013) Gender pay gap in Western Balkans: Evidence from Serbia, Macedonia and Montenegro. Belgrade: Foundation for Advancement of Economics. Arulampalan, W., A. Booth and M. Bryan (2007) Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution. Industrial and Labor Relations Review, 60(2), p.163-186. Azmat, G., M. Güell and A. Manning (2006) Gender Gaps in Unemployment Rates in OECD Countries. Journal of Labor Economics, 24(1), p.1-37. Beblo, M., D. Beninger, A. Heinze and F. Laisney (2003) Measuring Selectivity-corrected Gender Wage Gaps in the EU. ZEW DP No. 03-74, Mannheim. Blau, F. and A. H. Beller (1992) Black-White Earnings over the 1970s and 1980s: Gender Differences in Trends. Review of Economics and Statistics, 72(2): p.276-286. Blau, F. and L. Kahn (1996) Wage Structure and Gender Earnings Differentials: An International Comparison, Economica, 63, p.S29-S62. Blau, F. and L. Kahn (2003) Understanding International Differences in the Gender Pay Gap. Journal of Labor Economics, 21, p.106—144. Blau, F. and L. Kahn (2004), The US gender Pay Gap in the 1990s: Slowing Convergence? NBER WP No 10853. Blunch, N.H. (2010) The Gender Earnings Gap Revisited: A Comparative Study for Serbia and Five Countries in Eastern Europe and Central Asia. Washington, DC: World Bank. Buchinsky, M. (1998) The Dynamics of Changes in the Female Wage Distribution in the USA: A Quantile Regression Approach. Journal of Applied Econometrics, 13, p.1-30. Duan, N., Manning, W.G., Morris, C.N., and Newhouse, J.P. (1983) A Comparison of Alternative Models for the Demand for Medical Care. Journal of Business and Economic Statistics, 2(3), p.283-289. Echrenberg, R. G. and Smith, R. S. (2003) Modern Labor Economics: Theory and Public Policy (8th edition). Pearson Education, Inc. European Commission (2011) Exchange of good practices on gender equality: Reducing the gender pay gap. European Commission, Summary report. Available at: http://ec.europa.eu/justice/gender-equality/files/exchange_of_good_practice_de/summary_report_de_2011_en.pdf Fortin N. (2005) Gender Role Attitudes and the Labour Market Outcomes of Women аcross OECD Countries. Oxford Review of Economic Policy, 21(3), p.416-438. Graham, J.W., Olchowski, A.E. and Gilreath, T.D. (2007) How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory. Prev Sci, 8, p.206-213. Grajek, M. (2003) Gender Pay Gap in Poland. Economics of Planning, 36, p.23-44. Gronau, R. (1974) Wage Comparison - A Selectivity Bias. Journal of Political Economy, 82(6), p.1119-1143. Heckman, J. (1976) The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models. Annals of Economic Social Measurement, 5(4), p.475-492. Heckman, J. (1979) Sample Selection Bias as a Specification Error. Econometrica, 47, p.153- 163. Johnson, W., Y. Kitamura and D. Neal (2000) Evaluating a Simple Method for Estimating Black-White Gaps in Median Wages. American Economic Review, 90, p.339-343. Juhn, C. (1992) Decline of Labor Market Participation: The Role of Declining Market Opportunities. Quarterly Journal of Economics, 107, p.79-122. Junh, C. (2003) Labor Market Dropouts and Trends in the Wages of Black and White Men. Industrial and Labor Relations Review, 56(4), p.643-662. Little, R.J.A. and Rubin, D.B. (1987) Statistical Analysis with Missing Data. New York: John Wiley and Sons. Machado, C. (2012) Selection, Heterogeneity and the Gender Wage Gap. IZA Discussion Paper No. 7005 Manski, C. F. (1989) Anatomy of the Selection Problem. Journal of Human Resources, 24, p.343-360. Mincer, J. (1974) Schooling, Experience and Earnings. Columbia University Press, New York. Neal, D. (2004) The Measured Black-White Wage Gap among Women is Too Small. Journal of Political Economy, 112, p.S1-S28. Oaxaca R. L. (1973) Male-Female Wage Differentials in Urban Labor Markets. International Economic Review, 14, p.693-709. Petersen, T. and Saporta, I. (2004) The Opportunity Structure for Discrimination. American Journal of Sociology, 109(4), p.852-901. Petrongolo, B. and Olivetti, C. (2006) Unequal Pay or Unequal Employment? A Cross-Country Analysis of Gender Gaps. CEPR Discussion Paper No. 5506. Puhani, P.A. (2000) The Heckman Correction for Sample Selection and its Critique. Journal of Economic Surveys, 14(1) p.53-68. Rubin, Donald B. (1987) Multiple Imputation for Nonresponse in Surveys, Wiley Series in Probability and Mathematical Statistics. Wiley & Sons, New York. Schafer, J.L. (1999) Multiple imputation: A primer. Statistical Methods in Medical Research, 8, p.3-15. Schafer, J.L. and Olsen, M.K. (1998) Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective. Multivariate Behavioral Research, 33(4), p.545-571. Vella, F. (1998) Estimating Models with Sample Selection Bias: A Survey. Journal of Human Resources, 33, p.127-169. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/57226 |