IDEAS home Printed from https://ideas.repec.org/a/tpr/restat/v83y2001i1p185-190.html
   My bibliography  Save this article

Measuring the Effects of Socio-Economic Variables on the Income Distribution: An Application to the East German Transition Process

Author

Listed:
  • Martin Biewen

Abstract

This paper develops a discrete variant of the semiparametric methodology of DiNardo, Fortin, and Lemieux (1996) (DFL) to measure the effects of socio-economic variables on the income distribution. Although the proposed method is also based on the calculation of hypothetical income distributions by reweighting the original population, it is much easier to implement. The framework is applied to examine the distributional effects of rising unemployment, decreasing female labor market participation, and widening income structure in East Germany following the reunification with West Germany in 1990. The empirical results suggest that both these tendencies contributed considerably to the recent increase in income inequality in East Germany. 2000 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology

Suggested Citation

  • Martin Biewen, 2001. "Measuring the Effects of Socio-Economic Variables on the Income Distribution: An Application to the East German Transition Process," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 185-190, February.
  • Handle: RePEc:tpr:restat:v:83:y:2001:i:1:p:185-190
    as

    Download full text from publisher

    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/003465301750160144
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Olympia Bover, 2010. "Wealth Inequality And Household Structure: U.S. Vs. Spain," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(2), pages 259-290, June.
    2. Joachim Frick & Jan Goebel, 2008. "Regional Income Stratification in Unified Germany Using a Gini Decomposition Approach," Regional Studies, Taylor & Francis Journals, vol. 42(4), pages 555-577.
    3. Afridi, Farzana & Dinkelman, Taryn & Mahajan, Kanika, 2016. "Why Are Fewer Married Women Joining the Work Force in India? A Decomposition Analysis over Two Decades," IZA Discussion Papers 9722, Institute of Labor Economics (IZA).
    4. AngelaFiedler & NicolaFuchs-Schündeln, 2011. "Die ungleiche Entwicklung der Ungleichheit in Deutschland seit der Wiedervereinigung," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 18(03), pages 24-32, June.
    5. Inhoe Ku & Wonjin Lee & Seoyun Lee & Kyounghoon Han, 2018. "The Role of Family Behaviors in Determining Income Distribution: The Case of South Korea," Demography, Springer;Population Association of America (PAA), vol. 55(3), pages 877-899, June.
    6. Razzolini, Tiziano & Leombruni, Roberto & Mastrobuoni, Giovanni & Pagliero, Mario, 2014. "Beneath the surface: The decline in gender injury gap," Labour Economics, Elsevier, vol. 30(C), pages 282-288.
    7. Usamah Fayez Al-Farhan, 2010. "A Detailed Decomposition of Changes in Wage Inequality in Reunified Post-transition Germany 1999-2006: Accounting for Sample Selection," SOEPpapers on Multidisciplinary Panel Data Research 269, DIW Berlin, The German Socio-Economic Panel (SOEP).
    8. Carlo Vittorio FIORIO, 2008. "Understanding Italian inequality trends: a simulation-based decomposition," Departmental Working Papers 2008-26, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    9. Bauer, Thomas K. & Bender, Stefan, 2001. "Flexible Work Systems and the Structure of Wages: Evidence from Matched Employer-Employee Data," IZA Discussion Papers 353, Institute of Labor Economics (IZA).
    10. Farzana Afridi & Taryn Dinkelman & Kanika Mahajan, 2018. "Why are fewer married women joining the work force in rural India? A decomposition analysis over two decades," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(3), pages 783-818, July.
    11. Mary C. Daly & Robert G. Valletta, 2000. "Inequality and poverty in the United States: the effects of changing family behavior and rising wage dispersion," Working Paper Series 2000-06, Federal Reserve Bank of San Francisco, revised 2000.
    12. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.),Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    13. Becker, Gideon, 2015. "Econometric analysis of the wealth gap between East and West Germany," University of Tübingen Working Papers in Business and Economics 87, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    14. Martin Biewen, 2005. "The Covariance Structure of East and West German Incomes and its Implications for the Persistence of Poverty and Inequality," German Economic Review, Verein für Socialpolitik, vol. 6(4), pages 445-469, November.
    15. Biewen, Martin, 2012. "Additive Decompositions with Interaction Effects," IZA Discussion Papers 6730, Institute of Labor Economics (IZA).
    16. D’Ambrosio, Anna & Leombruni, Roberto & Razzolini, Tiziano, 2017. "Native-Migrant Differences in Trading Off Wages and Workplace Safety," IZA Discussion Papers 10523, Institute of Labor Economics (IZA).
    17. Nicola Fuchs-Schuendeln & Dirk Krueger & Mathias Sommer, 2010. "Inequality Trends for Germany in the Last Two Decades: A Tale of Two Countries," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 103-132, January.
    18. Celso Nunes, 2008. "Poverty Measurement: The Development of Different Approaches and Its Techniques," Working Papers 93, ECINEQ, Society for the Study of Economic Inequality.
    19. David Black & Yi-Ping Tseng & Roger Wilkins, 2009. "Examining the Role of Demographic Change in the Decline in Male Employment in Australia: A Propensity Score Re-weighting Decomposition Approach," Melbourne Institute Working Paper Series wp2009n24, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    20. Bauer, Thomas & Bender, Stefan, 2001. "Flexible Wages Systems and the Structure of Wages: Evidence from Matched Employer-Employee Data," CEPR Discussion Papers 2980, C.E.P.R. Discussion Papers.
    21. Andrew Silva, 2020. "Gender, price, and quantity effects in U.S. earnings inequality: revisiting counterfactual density estimates," Economics Bulletin, AccessEcon, vol. 40(3), pages 2505-2520.

    More about this item

    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:tpr:restat:v:83:y:2001:i:1:p:185-190. 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: (Ann Olson). General contact details of provider: https://www.mitpressjournals.org/ .

    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.

    We have no references for this item. You can help adding them by using 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.

    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.