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Generalized measures of wage differentials

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  • Philippe Van Kerm

Abstract

This paper considers measures of wage differentials not solely determined by mean comparisons but summarizing differences across complete wage distributions. The approach builds on considerations of risk or inequality aversion and on standard expected utility concepts. In an application to the gender pay gap in Luxembourg the disadvantage of women persists according to the proposed measures: lower mean wages for women are not compensated by differences in higher moments of wage distributions (e.g., by less dispersion) at least for realistic assumptions about women preferences toward risk and inequality. The paper also illustrates an original empirical model for wage distributions in the presence of covariates and under endogenous labour market participation. Copyright Springer-Verlag 2013

Suggested Citation

  • Philippe Van Kerm, 2013. "Generalized measures of wage differentials," Empirical Economics, Springer, vol. 45(1), pages 465-482, August.
    • Handle: RePEc:spr:empeco:v:45:y:2013:i:1:p:465-482
    DOI: 10.1007/s00181-012-0608-y
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    Cited by:

    1. Ekaterina Selezneva & Philippe Van Kerm, 2013. "Inequality-adjusted gender wage differentials in Germany," Working Papers 334, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    2. Christofides, Louis N. & Polycarpou, Alexandros & Vrachimis, Konstantinos, 2013. "Gender wage gaps, ‘sticky floors’ and ‘glass ceilings’ in Europe," Labour Economics, Elsevier, vol. 21(C), pages 86-102.
    3. Allanson, Paul, 2014. "Income stratification and the measurement of interdistributional inequality between multiple groups," SIRE Discussion Papers 2015-34, Scottish Institute for Research in Economics (SIRE).
    4. Allanson, Paul, 2014. "Income stratification and the measurement of interdistributional inequality between multiple groups," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 2015-34, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Ekaterina Selezneva & Philippe Van Kerm, 2016. "A distribution-sensitive examination of the gender wage gap in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 21-40, March.
    6. Manuel Arellano & Stéphane Bonhomme, 2017. "Sample Selection in Quantile Regression: A Survey," Working Papers wp2017_1702, CEMFI.
    7. Monojit Chatterji & Sushil Mohan & Sayantan Ghosh Dastidar, 2015. "Determinants of public education expenditure: evidence from Indian states," International Journal of Education Economics and Development, Inderscience Enterprises Ltd, vol. 6(1), pages 1-19.
    8. Denisa M. Sologon & Cathal O’Donoghue & Iryna Kyzyma & Jinjing Li & Jules Linden & Raymond Wagener, 2022. "The COVID-19 resilience of a continental welfare regime - nowcasting the distributional impact of the crisis," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(4), pages 777-809, December.
    9. Yalonetzky, Gaston, 2012. "Measuring group disadvantage with inter-distributional inequality indices: A critical review and some amendments to existing indices," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-32.
    10. SOLOGON Denisa & VAN KERM Philippe & LI Jinjing & O'DONOGHUE Cathal, 2018. "Accounting for Differences in Income Inequality across Countries: Ireland and the United Kingdom," LISER Working Paper Series 2018-01, Luxembourg Institute of Socio-Economic Research (LISER).
    11. Makarski, Krzysztof & Tyrowicz, Joanna, 2023. "Preference for redistribution during structural change with labor mobility frictions," European Journal of Political Economy, Elsevier, vol. 77(C).
    12. Jing Dai & Stefan Sperlich & Walter Zucchini, 2016. "A Simple Method for Predicting Distributions by Means of Covariates with Examples from Poverty and Health Economics," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 152(I), pages 49-80, March.
    13. Nerijus Černiauskas & Denisa M. Sologon & Cathal O’Donoghue & Linas Tarasonis, 2022. "Income Inequality and Redistribution in Lithuania: The Role of Policy, Labor Market, Income, and Demographics," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(S1), pages 131-166, April.
    14. Bargain, Olivier & Doorley, Karina & Van Kerm, Philippe, 2018. "Minimum Wages and the Gender Gap in Pay: New Evidence from the UK and Ireland," IZA Discussion Papers 11502, Institute of Labor Economics (IZA).
    15. Denisa M. Sologon & Philippe Kerm & Jinjing Li & Cathal O’Donoghue, 2021. "Accounting for differences in income inequality across countries: tax-benefit policy, labour market structure, returns and demographics," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(1), pages 13-43, March.
    16. Nerijus Cerniauskas & Denisa M. Sologon & Cathal O’Donoghue & Linas Tarasonis, 2020. "Changes in income inequality in Lithuania: the role of policy, labour market structure, returns and demographics," Bank of Lithuania Working Paper Series 71, Bank of Lithuania.
    17. SOLOGON Denisa & ALMEIDA Vanda & VAN KERM Philippe, 2019. "Accounting for the distributional effects of the 2007-2008 crisis and the Economic Adjustment Program in Portugal," LISER Working Paper Series 2019-05, Luxembourg Institute of Socio-Economic Research (LISER).
    18. Alexander Sohn, 2015. "Beyond Conventional Wage Discrimination Analysis: Assessing Comprehensive Wage Distributions of Males and Females Using Structured Additive Distributional Regression," SOEPpapers on Multidisciplinary Panel Data Research 802, DIW Berlin, The German Socio-Economic Panel (SOEP).
    19. Menuka Karki & Alok K. Bohara, 2014. "Evidence of Earnings Inequality Based on Caste in Nepal," The Developing Economies, Institute of Developing Economies, vol. 52(3), pages 262-286, September.
    20. Manuel Arellano & Stéphane Bonhomme, 2017. "Sample Selection in Quantile Regression: A Survey," Working Papers wp2018_1702, CEMFI.
    21. VERME Paolo, 2009. "Happiness, Deprivation and the Alter Ego," IRISS Working Paper Series 2009-18, IRISS at CEPS/INSTEAD.
    22. VAN KERM Philippe & YU Seunghee & CHOE Chung, 2014. "Wage differentials between native, immigrant and cross-border workers: Evidence and model comparisons," LISER Working Paper Series 2014-05, Luxembourg Institute of Socio-Economic Research (LISER).

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    More about this item

    Keywords

    Wage differentials; Expected utility; Singh–Maddala distribution; Endogenous selection; Luxembourg; D63; J31; J70;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General

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