IDEAS home Printed from https://ideas.repec.org/p/pri/indrel/307.html
   My bibliography  Save this paper

A Comparative Analysis of East and West German Labor Markets: Before and After Unification

Author

Listed:
  • Alan B. Krueger

    (Princeton University and NBER)

  • Jorn-Steffen Pischke

    (Zentrum fur Europaische Wirschaftsforschung)

Abstract

In 1988, the wage distribution in East Germany was much more compressed than in West Germany or the U.S. Since the collapse of Communism and unification with West Germany, however, the wage structure in eastern Germany has changed considerably. In particular, wage variation has increased, the payoff to education has decreased somewhat, industry differentials have expanded, and the white collar premium has increased. Although average wage growth has been remarkably high in eastern Germany, individual variation in wage growth is similar to typical western levels. The wage structure of former East Germans who work in western Germany resembles the wage structure of native West Germans in some respects, but their experience-earnings profile is flat.

Suggested Citation

  • Alan B. Krueger & Jorn-Steffen Pischke, 1992. "A Comparative Analysis of East and West German Labor Markets: Before and After Unification," Working Papers 686, Princeton University, Department of Economics, Industrial Relations Section..
  • Handle: RePEc:pri:indrel:307
    as

    Download full text from publisher

    File URL: https://dataspace.princeton.edu/jspui/bitstream/88435/dsp017p88cg546/1/307.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Michael C. Burda & Jeffrey D. Sachs, 1988. "Assessing High Unemployment in West Germany," The World Economy, Wiley Blackwell, vol. 11(4), pages 543-563, December.
    2. George A. Akerlof & Andrew K. Rose & Janet L. Yellen & Helga Hessenius, 1991. "East Germany in from the Cold: The Economic Aftermath of Currency Union," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(1), pages 1-106.
    3. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    4. Katharine G. Abraham & Susan Houseman, 1995. "Earnings Inequality in Germany," NBER Chapters, in: Differences and Changes in Wage Structures, pages 371-404, National Bureau of Economic Research, Inc.
    5. Bergson, Abram, 1984. "Income Inequality under Soviet Socialism," Journal of Economic Literature, American Economic Association, vol. 22(3), pages 1052-1099, September.
    6. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, November.
    7. Jean Helwege & Joachim Wagner, 1991. "More on the international similarity of interindustry wage differentials: evidence from the Federal Republic of Germany and the U.S," Finance and Economics Discussion Series 167, Board of Governors of the Federal Reserve System (U.S.).
    8. Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-445, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:eee:labchp:v:3:y:1999:i:pb:p:2373-2437 is not listed on IDEAS
    2. Parent, Daniel, 2002. "Matching, human capital, and the covariance structure of earnings," Labour Economics, Elsevier, vol. 9(3), pages 375-404, July.
    3. Huggett, Mark & Ventura, Gustavo & Yaron, Amir, 2006. "Human capital and earnings distribution dynamics," Journal of Monetary Economics, Elsevier, vol. 53(2), pages 265-290, March.
    4. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    5. Yang, Guanyi, 2018. "Endogenous Skills and Labor Income Inequality," MPRA Paper 89638, University Library of Munich, Germany.
    6. Peter Nijkamp & Jacques Poot, 2005. "The Last Word on the Wage Curve?," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 421-450, July.
    7. Mark Huggett & Gustavo Ventura & Amir Yaron, 2011. "Sources of Lifetime Inequality," American Economic Review, American Economic Association, vol. 101(7), pages 2923-2954, December.
    8. Magnac, Thierry & Pistolesi, Nicolas & Roux, Sébastien, 2013. "Post schooling human capital investments and the life cycle variance of earnings," IDEI Working Papers 765, Institut d'Économie Industrielle (IDEI), Toulouse.
    9. Gustavsson, Magnus & Österholm, Pär, 2014. "Does the labor-income process contain a unit root? Evidence from individual-specific time series," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 152-167.
    10. Jesper Bagger & Fran?ois Fontaine & Fabien Postel-Vinay & Jean-Marc Robin, 2014. "Tenure, Experience, Human Capital, and Wages: A Tractable Equilibrium Search Model of Wage Dynamics," American Economic Review, American Economic Association, vol. 104(6), pages 1551-1596, June.
    11. Domenico Depalo & Sabrina Di Addario, "undated". "Shedding Light on Inventors' Returns to Patents," Development Working Papers 375, Centro Studi Luca d'Agliano, University of Milano.
    12. Brown, Jeffrey R. & Fang, Chichun & Gomes, Francisco, 2015. "Risks and returns to education over time," CFS Working Paper Series 512, Center for Financial Studies (CFS).
    13. David Card & Dean R. Hyslop, 2018. "Female Earnings Inequality: The Changing Role of Family Characteristics on the Extensive and Intensive Margins," NBER Working Papers 25387, National Bureau of Economic Research, Inc.
    14. Katarzyna Growiec & Jakub Growiec, 2016. "Bridging Social Capital and Individual Earnings: Evidence for an Inverted U," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 601-631, June.
    15. Kaspar Wüthrich, 2013. "Set Identification of Generalized Linear Predictors in the Presence of Non-Classical Measurement Errors," Diskussionsschriften dp1304, Universitaet Bern, Departement Volkswirtschaft.
    16. Schultz, T. Paul, 2009. "The Gender and Generational Consequences of the Demographic Transition and Population Policy: An Assessment of the Micro and Macro Linkages," Working Papers 71, Yale University, Department of Economics.
    17. Emanuela di Gropello, 2006. "Meeting the Challenges of Secondary Education in Latin America and East Asia : Improving Efficiency and Resource Mobilization," World Bank Publications - Books, The World Bank Group, number 7173.
    18. Aidis, Ruta & van Praag, Mirjam, 2007. "Illegal entrepreneurship experience: Does it make a difference for business performance and motivation?," Journal of Business Venturing, Elsevier, vol. 22(2), pages 283-310, March.
    19. Benoit Dostie & Pierre Thomas Léger, 2014. "Firm-Sponsored Classroom Training: Is It Worth It for Older Workers?," Canadian Public Policy, University of Toronto Press, vol. 40(4), pages 377-390, December.
    20. Yi Fan, 2017. "Does Adversity Affect Long-Term Consumption and Financial Behaviour? Evidence from China's Rustication Programme," ERES eres2017_148, European Real Estate Society (ERES).
    21. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.

    More about this item

    Keywords

    Germany; transition; wages;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pri:indrel:307. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/irprius.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bobray Bordelon (email available below). General contact details of provider: https://edirc.repec.org/data/irprius.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.