Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2021 | 16 | 3 | 503-531

Article title

Differences between determinants of men and women monthly wages across fourteen European Union states

Content

Title variants

Languages of publication

Abstracts

EN
Research background: There is a broad discussion in the literature on the situation of men and women in the labour market, especially about the differences in their remuneration. Due to the fact that females constitute a slightly different group of employees, certain factors have different impacts on the level of their remuneration in comparison to male employees. Hence, the question arises which factors cause these differences and how large the dissimilarities are. Purpose of the article: The aim of the presented study is to diagnose and evaluate differences in the impact of designated determinants on the level of monthly wages of women and men in selected European Union member states. The novelty of our approach consists in both comparison of the intensity of influence examined factors to men?s and women?s earnings, and a global approach to the remuneration of male and female employees. Methods: Due to the nature of the dependent variable (remuneration decile, which is a variable measured on an ordinal scale), the ordered logit model is applied in the analysis. The data comes from the Eurostat?s Labour Force Survey. Findings & value added: Presented results indicate that many factors have significantly different intensity of impact on the level of men and women wages. However, significant differences between parameters estimated for both genders are visible for the group of family variables the most often, then for variables describing the condition of work, the human capital variables, and characteristics of the workplace. This paper adds to the empirical literature a new approach to measure the intensity of factors influencing men and women wages. In addition, our investigation is a cross-country analysis.

Year

Volume

16

Issue

3

Pages

503-531

Physical description

Dates

published
2021

Contributors

  • Warsaw University of Life Sciences – SGGW
  • University of Johannesburg

References

  • Aigner, D. J., & Cain, G. G. (1977). Statistical theories of discrimination in the labor market. Industrial and Labor Relations Review, 30(2), 175?87. doi: 10.23 07/2522871.
  • Arrow, K. J. (1974). The theory of discrimination. In O. Ashenfelter & A. Rees (Eds). Discrimination in labor markets. Princeton: Princeton University Press, 3?33.
  • Autor, D. (2003). Lecture note: the economics of discrimination-theory. Graduate Labor Economics I, Massachusetts Institute of Technology, Cambridge. Retrieved form https://economics.mit.edu/files/553.
  • Bardasi, E., & Gornick, J. C. (2000). Women and part-time employment: workers' 'choices' and wage penalties in five industrialized countries. LIS Working Paper Series, 223.
  • Bardasi, E., & Gornick, J. C. (2008). Working for less? Women's part-time wage penalties across countries. Feminist Economics, 14(1), 37?72. doi: 10.1080/135 45700701716649.
  • Barón, J. D., & Cobb?Clark, D. A. (2010). Occupational segregation and the gender wage gap in private?and public?sector employment: a distributional analysis. Economic Record, 86(273), 227?246. doi: 10.1111/j.1475-4932.2009.006 00.x.
  • Bauer, J. M., & Sousa-Poza, A. (2015). Impacts of informal caregiving on caregiver employment, health, and family. Journal of Population Ageing, 8(3), 113?145. doi: 10.1007/s12062-015-9116-0.
  • Becker, G. S. (1957). The economics of discrimination. Chicago: University of Chicago Press.
  • Becker, G. S. (1964). Human capital: a theoretical and empirical analysis. Chicago: University of Chicago Press.
  • Behr, A., & Pötter, U. (2010). What determines wage differentials across the EU? Journal of Economic Inequality, 8(1), 101?120. doi: 10.1007/s10888-008-9106-z.
  • Bielawska, K. (2019). Economic activity of Polish pensioners in the light of quantitative research. Equilibrium. Quarterly Journal of Economics and Economic Policy, 14(1), 149?165. doi: 10.24136/eq.2019.007.
  • Blau, F. D., & Kahn, L. M. (2017). The gender wage gap: extent, trends, and explanations. Journal of Economic Literature, 55(3), 789?865. doi: 10.1257/jel.2 0160995.
  • Blau, F. D., & Winkler, A. E. (2017). Women, work, and family. NBER Working Paper Series, w23644.
  • Blinder, A. (1973). Wage discrimination: reduced form and structural estimates. Journal of Human Resources, 7(4), 436?55. doi: 10.2307/144855.
  • Budig, M. J., & Hodges, M. J. (2014). Statistical models and empirical evidence for differences in the motherhood penalty across the earnings distribution. American Sociological Review, 79(2), 358?364. doi: 10.1177/0003122414 523616.
  • Charles, M., & Grusky, D. B. (2004). Occupational ghettos: the worldwide segregation of women and men. Stanford: Stanford University Press.
  • Chevalier, A. (2007). Education, occupation and career expectations: determinants of the gender pay gap for UK graduates. Oxford Bulletin of Economics and Statistics, 69(6), 819?842. doi: 10.1111/j.1468-0084.2007.00483.x.
  • Christofides, L. N., Polycarpou, A., & Vrachimis, K. (2013). Gender wage gaps,?sticky floors? and ?glass ceilings? in Europe. Labour Economics, 21, 86?102. doi: 10.1016/j.labeco.2013.01.003.
  • Cohen, A. (1983). Comparing regression coefficients across subsamples: a study of the statistical test. Sociological Methods & Research, 12(1), 77?94.
  • Cohen, P. N., & Huffman, M. L. (2007). Working for the woman? Female managers and the gender wage gap. American Sociological Review, 72(5), 681?704. doi: 10.1177/000312240707200502.
  • D'Amico, T. F. (1987). The conceit of labor market discrimination. American Economic Review, 77(2), 310?315.
  • Dickens, W., & Katz, L. F. (1987). Inter-industry wage differences and theories of wage determination. NBER Working Paper Series, 2271.
  • Eberharter, V. V. (2001). Gender roles, labour market participation and household income position. Structural Change and Economic Dynamics, 12(3), 235?246. doi: 10.1016/S0954-349X(01)00021-2.
  • Ermisch, J. F., & Wright, R. E. (1993). Wage offers and full-time and part-time employment by British women. Journal of Human Resources, 28(1), 111?133.
  • Fortin, N., Lemieux, T., & Firpo, S. (2011). Decomposition methods in economics. In Handbook of labor economics, Vol. 4. Elsevier, 1?102. doi: 10.1016/S0169-7218(11) 00407-2.
  • Gajdos, A., Arendt, Ł., Balcerzak, A. P., Pietrzak, M. B. (2020). Future trends of labour market polarisation in Poland. The perspective of 2025. Transformations in Business & Economics, 19, 3 (51), 114?135.
  • Garcia, J., Hernández, P. J., & Lopez-Nicolas, A. (2001). How wide is the gap? An investigation of gender wage differences using quantile regression. Empirical Economics, 26(1), 149?167. doi: 10.2307/146090.
  • Gardeazabal, J., & Ugidos, A. (2005). Gender wage discrimination at quantiles. Journal of Population Economics, 18(1), 165?179. doi: 10.1007/s00148-003-0172-z.
  • Gash, V. (2009). Sacrificing their careers for their families? An analysis of the penalty to motherhood in Europe. Social Indicators Research, 93(3), 569?586. doi: 10.1007/s11205-008-9429-y.
  • Goraus, K., Tyrowicz, J., & Van der Velde, L. (2017). Which gender wage gap estimates to trust? A comparative analysis. Review of Income and Wealth, 63(1), 118?146. doi: 10.1111/roiw.12209.
  • Gough, M., & Noonan, M. (2013). A review of the motherhood wage penalty in the United States. Sociology Compass, 7(4), 328?342. doi: 10.1111/soc4.12031.
  • Griliches, Z. (1997). Education, human capital, and growth: a personal perspective. Journal of Labor Economics, 15(1, Part 2), 330?344. doi: 10.1086/209865.
  • Grilli, L., & Rampichini, C. (2014). Ordered logit model. In Encyclopedia of quality of life and well-being research. Springer, 4510?4513. doi: 10.1007/978-94-007-0753-5_2023.
  • Hakim, C. (1998). Developing a sociology for the twenty-first century: preference theory. British Journal of Sociology, 49, 137?143. doi: 10.2307/591267.
  • Hakim, C. (2004). Key issues in women?s work: female diversity and the polarisation of women?s employment. London: Psychology Press.
  • Hakim, C. (2006). Women, careers, and work-life preferences. British Journal of Guidance & Counselling, 34(3), 279?294. doi: 10.1080/03069880600769118.
  • Hausman, J. A., & Ruud, P. A. (1987). Specifying and testing econometric models for rank-ordered data. Journal of Econometrics, 34(1-2), 83?104. doi: 10.1016/0304-4076(87)90068-6.
  • Hicks, J. (1963). The theory of wages. Springer.
  • Hill, J. E., Märtinson, V., & Ferris, M. (2004). New?concept part?time employment as a work?family adaptive strategy for women professionals with small children. Family Relations, 53(3), 282?292.
  • Karasek III, R., & Bryant, P. (2012). Signaling theory: past, present, and future. Academy of Strategic Management Journal, 11(1), 91?99.
  • Kessler, I. (2013). Remuneration systems. In S. Bach and M. R. Edwards (Eds.). Managing human resources. Wiley, 243?267.
  • Kim, C., & Sakamoto, A. (2008). The rise of intra-occupational wage inequality in the United States, 1983 to 2002. American Sociological Review, 73(1), 129?157.
  • Klasen, S., & Pieters, J., (2012), Push or pull? Drivers of female labor force participation during India's economic boom. IZA Discussion Paper, 6395.
  • Kompa, K., & Witkowska, D. (2018). Gender diversity in the boardrooms of public companies in Poland: changes and implications. Montenegrin Journal of Economics, 14(1), 79?92. doi: 10.14254/1800-5845/2018.14-1.6.
  • Korenman, S., & Neumark, D. (1992). Marriage, motherhood, and wages. Journal of Human Resources, 27(2), 233?255. doi: 10.2307/145734.
  • Krueger, A. B., & Summers, L. H. (1988). Efficiency wages and inter-industry wage structure. Econometrica, 56(2), 259?93. doi: 10.2307/1911072.
  • Kunze, A. (2005). The evolution of the gender wage gap. Labour Economics, 12(1), 73?97. doi: 10.1016/j.labeco.2004.02.012.
  • Kunze, A. (2018). The gender wage gap in developed countries. In Oxford handbook of women and the economy. SSRN, 369?394. doi: 10.2139/ssrn.2989616.
  • Landmesser, J. M. (2017). Differences in income distributions for men and women in Poland ? an analysis using decomposition techniques. Acta Scientiarum Polonorum. Oeconomia, 16(4), 103?112. doi: 10.22630/ASPE.2017.16.4.49.
  • Landmesser, J. M. (2019). Differences in income distributions for men and women in the European Union countries. Equilibrium. Quarterly Journal of Economics and Economic Policy, 14(1), 81?98. doi: 10.24136/eq.2019.004.
  • Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3?42. doi: 10.1016/0304-3932(88)90168-7.
  • Lucas, R. E. (1990). Why doesn?t capital flow from rich to poor countries? American Economic Review, 80(2), 92?96.
  • Malkina, M. (2019). Spatial wage inequality and its sectoral determinants: the case of modern Russia. Oeconomia Copernicana, 10(1), 69?87. doi: 10.24136/oc.20 19.004.
  • Matuszewska-Janica, A. (2014). Wages inequalitis between men and women: Eurostat SES metadata analysis applying econometric models. Quantitative Methods in Economics, 15(1), 113?124.
  • Matuszewska-Janica, A. (2020). Impact of the selected factors on the men and women wages in Poland in 2014. The conjoint analysis application. In Classification and data analysis: theory and applications. Springer, 319?335. doi: 10.1007/978-3-030-52348-0_20.
  • Mellow, W. (1982). Employer size and wages. Review of Economics and Statistics, 64(3), 495?501. doi: 10.2307/1925949.
  • Milgrom, P., & Oster, S. (1987). Job discrimination, market forces, and the invisibility hypothesis. Quarterly Journal of Economics, 102(3), 453?476. doi: 10.2307/1884213.
  • Mincer, J. A. (1974). The human capital earnings function. In Schooling, experience, and earnings. NBER, 83?96.
  • Mosley, D. C., Mosley D. C., & Pietri, P. H. (2015). Supervisory management: the art of inspiring, empowering, and developing people. Stamford: Cengage Learning.
  • Nafukho, F. M., Hairston, N., & Brooks, K. (2004). Human capital theory: implications for human resource development. Human Resource Development International 7(4), 545?551. doi: 10.1080/1367886042000299843.
  • ?opo, H. (2008). Matching as a tool to decompose wage gaps. Review of Economics and Statistics, 90(2), 290?299. doi: 10.1162/rest.90.2.290.
  • Nyhus, E. K., & Pons, E. (2012). Personality and the gender wage gap. Applied Economics, 44(1), 105?118. doi: 10.1080/00036846.2010.500272.
  • Oaxaca, R. (1973). Male-Female wage differentials in urban labor market. International Economic Review, 14(3), 693?709. doi: 10.2307/2525981.
  • Oettinger, G. S. (1996). Statistical discrimination and the early career evolution of the black-white wage gap. Journal of Labor Economics, 14(1), 52?78.
  • Oi, W. Y., & Idson, T. L. (1999). Firm size and wages. In Handbook of labor economics, 1999 3(B). Elsevier, 2165?2214.
  • Paternoster, R., Brame, R., Mazerolle, P., & Piquero, A. (1998). Using the correct statistical test for the equality of regression coefficients. Criminology, 36(4), 859?866. doi: 10.1111/j.1745-9125.1998.tb01268.x.
  • Phelps, E. S. (1972). The statistical theory of racism and sexism. American Economic Review, 62(4), 659?661.
  • Rodríguez-Pose, A., & Vilalta-Bufí, M. (2005). Education, migration, and job satisfaction: the regional returns of human capital in the EU. Journal of Economic Geography, 5(5), 545?566. doi: 10.1093/jeg/lbh067.
  • Schmidt, C. M., & Zimmermann, K. F. (1991). Work characteristics, firm size and wages. Review of Economics and Statistics, 3(4), 705?710. doi: 10.2307/210 9410.
  • Schultz, T. W. (1961). Investment in human capital. American Economic Review, 51(1), 1?17.
  • Schwab, S. (1986). Is statistical discrimination efficient? American Economic Review, 76(1), 228?234.
  • Spence, M. (1973). Job market signaling. Quarterly Journal of Economics, 87(3), 355?374. doi: 10.2307/1882010.
  • Spence, M. (1974). Market signaling: information transfer in hiring and related processes. Cambridge, MA: Harvard University Press.
  • Thaler, R. H. (1989). Anomalies: interindustry wage differentials. Journal of Economic Perspectives, 3(2), 181?193. doi: 10.1257/jep.3.2.181.
  • Viitanen, T. K. (2010). Informal eldercare across Europe: estimates from the European Community Household Panel. Economic Analysis and Policy, 40(2), 149?178. doi: 10.1016/s0313-5926(10)50023-7.
  • Waldfogel, J. (1997). The effect of children on women's wages. American Sociological Review, 62(2) 209?217. doi: 10.2307/2657300.
  • Weichselbaumer, D., & Winter?Ebmer, R. (2005). A meta?analysis of the international gender wage gap. Journal of Economic Surveys, 19(3), 479?511. doi: 10.1111/j.0950-0804.2005.00256.x.
  • Witkowska, D. (2019). Do child and elder care influence worktime of Polish employees? Acta Scientiarum Polonorum. Oeconomia, 18(1), 97?106. doi: 10.22 630/ASPE.2019.18.1.11.
  • Witkowska, D., & Kompa, K. (2019). Investigating the motherhood-caregiver penalty. African Review of Economics and Finance, 11(2), 165?187.
  • Witkowska, D., & Kompa, K. (2020). Motherhood and eldercare penalties. Evidence from Poland. Economics & Sociology, 13(3), 11?26. doi: 10.14254/2071- 789X.2020/13-3/1.
  • Witkowska, D., Matuszewska-Janica, A., & Mentel, G. (2019). Determinants of remuneration in selected European Union states. Collegium of Economic Analysis Annals/Warsaw School of Economics, 55, 9?24.
  • Wosiek, M. (2020). Rural?urban divide in human capital in Poland after 1988. Oeconomia Copernicana, 11(1), 183?201. doi: 10.24136/oc.2020.008.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
22444329

YADDA identifier

bwmeta1.element.ojs-doi-10_24136_eq_2021_018
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.