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Generalized measures of wage differentials

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  • Philippe Van Kerm

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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. 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).
    3. 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.
    4. 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.
    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, pages 21-40.
    6. 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, LISER.
    7. 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, Kiel Institute for the World Economy (IfW), vol. 6, pages 1-32.
    8. Verme, Paolo, 2009. "Happiness, Deprivation and the Alter Ego," IRISS Working Paper Series 2009-18, IRISS at CEPS/INSTEAD.
    9. 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, LISER.
    10. 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).

    More about this item

    Keywords

    Wage differentials; Expected utility; Singh–Maddala distribution; Endogenous selection; Luxembourg; D63; J31; J70;

    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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