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New insights on earnings trends across skill groups and industries in West Germany

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  • Bernd Fitzenberger
  • Claudia Kurz

Abstract

This paper provides an empirical analysis of the structure of earnings in West Germany across skill groups and industries. Our analysis is based on data from the German Socioeconomic Panel for the period 1984 to 1994. We estimate quantile regressions, both for the entire sample period and for each year separately, in order to obtain a finer picture of the earnings structure compared to conventional least squares methods. For robust standard error estimation, this study uses a block bootstrap procedure taking account of heteroskedasticity and autocorrelation in the error term. We also suggest a simple procedure to obtain a consistent estimate of inter-industry earnings variability. Our main findings are: first, pooled estimation comprising a uniform time trend is not rejected by the data, and second, the effects of human capital variables and industry dummies on earnings differ considerably across quantiles. Copyright Springer-Verlag Berlin Heidelberg 2003

Suggested Citation

  • Bernd Fitzenberger & Claudia Kurz, 2003. "New insights on earnings trends across skill groups and industries in West Germany," Empirical Economics, Springer, vol. 28(3), pages 479-514, July.
  • Handle: RePEc:spr:empeco:v:28:y:2003:i:3:p:479-514
    DOI: 10.1007/s001810200142
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    References listed on IDEAS

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    1. Fels, Joachim & Gundlach, Erich, 1990. "More evidence on the puzzle of interindustry wage differentials: the case of West Germany," Kiel Working Papers 400, Kiel Institute for the World Economy (IfW).
    2. Winker, Peter, 1991. "Zur Messung der Lohndifferenzierung mit Entropiemaßen," Discussion Papers, Series II 158, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
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    Cited by:

    1. Azam, Mehtabul, 2012. "Changes in Wage Structure in Urban India, 1983–2004: A Quantile Regression Decomposition," World Development, Elsevier, vol. 40(6), pages 1135-1150.
    2. Andini, Corrado, 2017. "Tertiary Education for All and Wage Inequality: Policy Insights from Quantile Regression," IZA Policy Papers 132, Institute for the Study of Labor (IZA).
    3. Paolo Naticchioni & Andrea Ricci & Emiliano Rustichelli, 2007. "Wage Structure, Inequality And Skill-Biased Change: Is Italy An Outlier?," Quaderni del Dipartimento di Economia, Finanza e Statistica 38/2007, Università di Perugia, Dipartimento Economia.
    4. Cinthya G. Caamal Olvera, 2017. "Decreasing returns to schooling in Mexico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 32(1), pages 27-63.
    5. Claudia Tello & Raul Ramos & Manuel Artís, 2012. "“Changes in Wage Structure in Mexico Going Beyond the Mean: An Analysis of Differences in Distribution, 1987-2008”," AQR Working Papers 201211, University of Barcelona, Regional Quantitative Analysis Group, revised Mar 2013.
    6. Wiji Arulampalam & Alison Booth & Mark Bryan, 2010. "Are there asymmetries in the effects of training on the conditional male wage distribution?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 251-272, January.
    7. Joop Hartog & Pedro Pereira & Jose Vieira, 2001. "Changing returns to education in Portugal during the 1980s and early 1990s: OLS and quantile regression estimators," Applied Economics, Taylor & Francis Journals, vol. 33(8), pages 1021-1037.
    8. Fitzenberger, Bernd & Franz, Wolfgang, 1997. "Flexibilität der qualifikatorischen Lohnstruktur und Lastverteilung der Arbeitslosigkeit: Eine ökonometrische Analyse für Westdeutschland," ZEW Discussion Papers 97-32, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    9. P. Charnoz & É. Coudin & M. Gaini, 2011. "Wage inequalities in France 1976-2004: a quantile regression analysis," Documents de Travail de la DESE - Working Papers of the DESE g2011-06, Institut National de la Statistique et des Etudes Economiques, DESE.
    10. Jose Antonio Cabral Vieira & Joao Pedro Couto & Maria Teresa Tiago, 2006. "Regional Differences in Returns to Education in Portugal," ERSA conference papers ersa06p44, European Regional Science Association.
    11. Fitzenberger, Bernd & Kohn, Karsten, 2005. "Gleicher Lohn für gleiche Arbeit? : zum Zusammenhang zwischen Gewerkschaftsmitgliedschaft und Lohnstruktur in Westdeutschland 1985-1997 (Equal pay for equal work? * on the relationship between union m," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 38(2/3), pages 125-146.
    12. Pallab Kumar Ghosh & Jae Yoon Lee, 2016. "Decomposition of Changes in Korean Wage Inequality, 1998–2007," Journal of Labor Research, Springer, vol. 37(1), pages 1-28, March.
    13. Veronique Genre & Karsten Kohn & Daphne Momferatou, 2011. "Understanding inter-industry wage structures in the euro area," Applied Economics, Taylor & Francis Journals, vol. 43(11), pages 1299-1313.
    14. Umkehrer, Matthias, 2015. "The impact of changing youth employment patterns on future wages," IAB Discussion Paper 201531, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    15. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.
    16. repec:iab:iabzaf:v:38:i:2/3:p:125-146 is not listed on IDEAS
    17. Pamela Giustinelli, 2004. "Quantile Regression Evidence on Italian Education Returns," Rivista di Politica Economica, SIPI Spa, vol. 94(6), pages 49-100, November-.
    18. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.

    More about this item

    Keywords

    Key words: Earnings Structure across Skill Groups and Industries; Quantile Regression; Block Bootstrap; JEL classification: J31; C23;

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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