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Unions, Internationalization, Tasks, Firms, and Worker Characteristics: A Detailed Decomposition Analysis of Rising Wage Inequality in Germany

  • Martin BiewenEmail author
  • Matthias Seckler
Article

Abstract

This paper provides a comprehensive quantitative assessment of the importance of the factors associated with the rise in male wage inequality in Europe’s largest economy over the period 1995-2010. We simultaneously consider an extensive set of explanatory factors including personal characteristics, measures of internationalization, task composition, union coverage, industry, region, and firm characteristics. Our study uses a different data source than most of the other prominent studies on wage inequality in Germany. We carefully assess differences implied by the different data and show that previous studies have most likely underestimated the dominating role of de-unionization for the rise in German wage inequality. As the second most important factor, we identify compositional effects of personal characteristics such as age and education. We find only moderate effects linked to internationalization, firm heterogeneity, task changes and regional convergence.

Keywords

De-unionization Skill-biased technical change RIF regression 

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Notes

Acknowledgments

We would like to thank Philippe Van Kerm (the editor), two anonymous referees, as well as Bernhard Boockmann, Bernd Fitzenberger, Michael Burda, Albrecht Glitz, Phillip Heiler, Philip Harms, Jakob de Lazzer, Winfried Königer, Moritz Kuhn, Michael Neugart, Regina Riphahn, Thorsten Schank and seminar participants at the 6th network-workshop of the DFG priority programm 1764 and ESPE/EALE/EEA/ESEM 2017 for many helpful comments and discussions. Financial support through DFG Priority Program 1764 and DFG project BI 767/3-1 is gratefully acknowledged. This paper uses the German Structure of Earnings Surveys (GSES) 1995, 2001, 2006 and 2010 provided by the German Federal Statistical Office. We thank Kristin Nowak, Stefan Seitz, Isabella Brucker (FDZ Stuttgart) and Alexander Richter (FDZ Wiesbaden) for their generous support. The paper also uses supplementary data from the Linked-Employer-Employee Dataset (IAB) of the Institute for Employment Research (IAB), Nürnberg, and the BIBB Labor Force Survey of the Federal Institute for Vocational Training (BIBB).

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References

  1. Acemoglu, D., Autor, D.: Skills, Tasks and Technologies: Implications for Employment and Earnings. In: Ashenfelter, O., Card, D. (eds.) Handbook of Labor Economics, Volume 4B, Chapter 12, pp 1044–1166. North Holland, Amsterdam (2011)Google Scholar
  2. Autor, D.H., Levy, F., Murnane, R.J.: The skill conent of recent technological change: an empirical exploration. Q. J. Econ. 118, 1279–1333 (2003)CrossRefGoogle Scholar
  3. Autor, D.H., Katz, L.F., Kearney, M.S.: Trends in us wage inequality: Revising the revisionists. Rev. Econ. Stat. 90, 300–323 (2008)CrossRefGoogle Scholar
  4. Autor, D.H., Dorn, D., Hanson, G.H., Song, J.: Trade adjustment: Worker-level evidence. Q. J. Econ. 2014, 1799–1860 (2014)CrossRefGoogle Scholar
  5. Antonczyk, D., Fitzenberger, B., Leuschner, U.: Can a Task-Based Approach Explain the Recent Changes in the German Wage Structure? J. Econ. Stat. 229, 214–238 (2009)Google Scholar
  6. Antonczyk, D., Fitzenberger, B., Sommerfeld, K.: Rising wage inequality, the decline of collective bargaining, and the gender wage gap. Labour. Econ. 17, 835–847 (2010)CrossRefGoogle Scholar
  7. Atkinson, A.B., Piketty, T., Saez, E.: Top incomes in the long run of history. J. Econ. Lit. 49, 3–71 (2011)CrossRefGoogle Scholar
  8. Barth, E., Bryson, A., Davis, J.C., Freeman, R.: It’s where you work: Increases in dispersion of earnings across establishments and individuals in the united states. J. Labor Econ. 34, 67–97 (2016)CrossRefGoogle Scholar
  9. Bartels, C., Jenderny, K.: The Role of Capital Income for Top Income Shares in Germany. World Top Incomes Database Working Paper 2015/1, World Top Incomes Database, http://wid.world/ (2015)
  10. Baumgarten, D.: Exporters and the rise in wage inequality: Evidence from German linked employer-employee data. J. Int. Econ. 90, 201–217 (2013a)CrossRefGoogle Scholar
  11. Baumgarten, D., Geishecker, I., Görg, H.: Offshoring, tasks, and the skill-wage pattern. Eur. Econ. Rev. 61, 132–152 (2013b)CrossRefGoogle Scholar
  12. Baumgarten, D., Felbermayr, G., Lehwald, S.: Dissecting between-plant and within-plant wage dispersion - Evidence from Germany. Collaborative Research Center Transregio 190, Discussion Paper No. 125, Ludwig-Maximilians-University Munich (2018)Google Scholar
  13. Biewen, M., Seckler, M.: Changes in the German Wage Structure: Unions, Internationalization, Tasks, Firms, and Worker Characteristics, IZA Discussion Paper No 10763. IZA Institute of Labor Economics, Bonn (2017)Google Scholar
  14. Böhm, M., von Gaudecker, H. -M., Schran, F.: The Polarization of Skill Prizes in Germany 1985-2010. Working Paper, University of Bonn (2016)Google Scholar
  15. Brändle, T., Heinbach, W.D., Meier, M.F.: Tarifliche Öffnung in Deutschland: Ausmaß, Determinanten, Auswirkungen. J. Labour Market Res. 44, 163–172 (2011)CrossRefGoogle Scholar
  16. Card, D., DiNardo, J.E.: Skill-Biased Technological change and rising wage inequality: Some problems and puzzles. J. Labor Econ. 20, 733–783 (2002)CrossRefGoogle Scholar
  17. Card, D., Heining, J., Kline, P.: Workplace heterogeneity and the rise of West German wage inequality. Q. J. Econ. 128, 967–1015 (2013)CrossRefGoogle Scholar
  18. Chernozhukov, V., Fernandez-Val, I., Melly, B.: Inference on counterfactual distributions. Econometrica 81, 2205–2268 (2013)CrossRefGoogle Scholar
  19. DiNardo, J., Fortin, N.M., Lemieux, T.: Labor market institutions and the distribution of wages, 1973-1992: a semiparametric approach. Econometrica 64, 1001–1044 (1996)CrossRefGoogle Scholar
  20. Dreher, A., Gaston, N.: Has Globalisation Really had no Effect on Unions? Kyklos 60, 165–186 (2007)CrossRefGoogle Scholar
  21. Dustmann, C., Ludsteck, J., Schönberg, U.: Revisting the german wage structure. Q. J. Econ. 124, 843–881 (2009)CrossRefGoogle Scholar
  22. Dustmann, C., Fitzenberger, B., Spitz-Oener, A.: From Sick Man of Europe to Economic Superstar: Germany’s Resurgent Economy. J. Econ. Perspect. 28, 167–188 (2014)CrossRefGoogle Scholar
  23. Ebenstein, A., Harrison, A., McMillan, M., Phillips, S.: Estimating the impact of trade and offshoring on american workers using the current population surveys. Rev. Econ. Stat. 96, 581–595 (2014)CrossRefGoogle Scholar
  24. Ehrl, P.: A breakdown of residual wage inequality in Germany: wage decompositions using worker-, plant-, region-, and sector-specific determinants. Oxf. Econ. Pap. 69, 75–96 (2017)CrossRefGoogle Scholar
  25. Federal Statistical Office of Germany: Volkswirtschaftliche Gesamtrechnung, Input-Output-Rechnung, Fachserie 18, Reihe 2. Wiesbaden (1999)Google Scholar
  26. Fields, G.S.: Worker well-being and public policy. Res. Labor Econ. 22, 1–38 (2003)CrossRefGoogle Scholar
  27. Firpo, S., Fortin, N.M., Lemieux, T.: Unconditional quantile regression. Econometrica 77, 953–373 (2009)CrossRefGoogle Scholar
  28. Firpo, S., Fortin, N.M., Lemieux, T.: Occupational Tasks and Changes in the Wage Structure. Working Paper, University of British Columbia (2014)Google Scholar
  29. Firpo, S., Fortin, N.M., Lemieux, T.: Decomposing Wage Distributions using Recentered Influence Function Regressions. Econometrics 6(2), 1–40 (2018)Google Scholar
  30. Fitzenberger, B., Osikominu, A., Völter, R.: Imputation rules to improve the education variable in the IAB employment subsample. J. Soc. Sci. Stud. 126, 405–436 (2006)Google Scholar
  31. Fitzenberger, B., Kohn, K., Qingwei, W.: The erosion of union membership in germany: determinants, Densities, Decompositions. J. Popul. Econ. 24, 141–165 (2011)CrossRefGoogle Scholar
  32. Fitzenberger, B., Kohn, K., Lembcke, A.: Union density and varieties of coverage: The anatomy of union wage effects in germany. Ind. Labor Relat. Rev. 66, 169–197 (2013)CrossRefGoogle Scholar
  33. Fortin, N., Lemieux, T., Firpo, S.: Decomposition methods in economics. Handb. Labor Econ. 4, 1–102 (2011)CrossRefGoogle Scholar
  34. Gathmann, C., Schönberg, U.: How general is human capital? a Task-Based approach. J. Labor Econ. 28, 1–49 (2010)CrossRefGoogle Scholar
  35. Gardeazabal, J., Ugidos, A.: More on identification in detailed wage decompositions. Rev. Econ. Stat. 86, 1034–1036 (2004)CrossRefGoogle Scholar
  36. Gartner, H.: The Imputation of Wages above the Contribution Limit with the German IAB Employment Sample. FDZ-Methodenreport, No. 02/2005 Institute for Employment Research (IAB), Nürnberg (2005)Google Scholar
  37. Geishecker, I., Görg, H.: Winners and losers: a Micro-Level analysis of international outsourcing and wages. Can. J. Econ. 41, 243–270 (2008)CrossRefGoogle Scholar
  38. Goldin, C., Katz, L.F.: The Race between Education and Technology. Harvard University Press, Massachusetts (2008)Google Scholar
  39. Juhn, C., Murphy, K.M., Pierce, B.: Wage inequality and the rise in returns to skill. J. Polit. Econ. 101, 410–442 (1993)CrossRefGoogle Scholar
  40. Katz, L.F., Murphy, K.M.: Changes in relative wages, 1963-1987: Supply and demand factors. Q. J. Econ. 107, 35–78 (1992)CrossRefGoogle Scholar
  41. Katz, L.F., Autor, D.H.: Changes in the Wage Structure and Earnings Inequality. In: Ashenfelter, O., Card, D. (eds.) Handbook of Labor Economics, Volume 4B, Chapter 26, pp 1463–1166. North Holland, Amsterdam (1999)Google Scholar
  42. Klein, M.W., Moser, C., Urban, D.M.: Exporting, skills and wage inequality. Labour Econ. 25, 76–85 (2013)CrossRefGoogle Scholar
  43. Lemieux, T.: Increasing Residual Wage Inequality: Composition Effects, Noisy Data, or Rising Demand for Skill? Amer. Econ. Rev. 96, 1–64 (2006)CrossRefGoogle Scholar
  44. Machado, J.A.F., Mata, J.: Counterfactual decomposition of changes in wage distribution using quantile regression. J. Appl. Econ. 20, 445–465 (2005)CrossRefGoogle Scholar
  45. Melly, B.: Decomposition of differences in distribution using quantile regression. Labour Econ. 12, 577–590 (2005)CrossRefGoogle Scholar
  46. Möller, J.: Lohnungleichheit - Gibt Es Eine Trendwende? IAB Discussion Paper 9/2016. Institut für Arbeitsmarkt- und Berufsforschung, Nönberg (2016)Google Scholar
  47. Ohlert, C.: Establishment heterogeneity, rent sharing and the rise of wage inequality in Germany. Int. J. Manpow. 37, 210–228 (2016)CrossRefGoogle Scholar
  48. Piketty, T., Saez, E.: Inequality in the long run. Science 344(6186), 838–843 (2014)CrossRefGoogle Scholar
  49. Rinawi, M., Backes-Gellner, U.: Skill Prices, Skill Composition, and the Structure of Wages. Discussion Paper No 0112. University of Zurich, Institute for Strategy and Business Economics (ISU) (2015)Google Scholar
  50. Schank, T., Schnabel, C., Wagner, J.: Do Exporters really pay high wages? First evidence from German linked employer-employee data. J. Int. Econ. 72, 52–74 (2007)CrossRefGoogle Scholar
  51. Song, J., Price, D.J., Guvenen, F., Bloom, Nicholas, von Wachter, T.: Firming up inequality. Q. J. Econ. 134, 1–50 (2019)CrossRefGoogle Scholar
  52. Spitz-Oener: Rising educational demands: Looking outside the wage structure. J. Labor Econ. 24, 235–270 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Business and EconomicsUniversity of TübingenTübingenGermany

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