IDEAS home Printed from https://ideas.repec.org/p/zbw/zewdip/439.html
   My bibliography  Save this paper

Quantilsregressionen der westdeutschen Verdienste: Ein Vergleich zwischen der Gehalts- und Lohnstrukturerhebung und der IAB-Beschäftigtenstichprobe

Author

Listed:
  • Fitzenberger, Bernd
  • Reize, Frank

Abstract

Diese Arbeit vergleicht die Verdienststrukturen in Westdeutschland für die Jahre 1990 und 1995 basierend auf der Gehalts- und Lohnstrukturerhebung und der IAB?Beschäftigtenstichprobe. Wir betrachten Verdienstunterschiede im Hinblick auf die berufliche Qualifikation, das Geschlecht, den Erwerbsstatus, die Branchenzugehörigkeit und das Alter. Die Analyse verwendet die Methode der Quantilsregressionen und ist rein deskriptiver Natur. Die beiden Datensätze unterscheiden sich teilweise in der Stichprobenzusammensetzung und es finden sich zum Teil Unterschiede in den geschätzten Verdienstrelationen. Qualitativ stimmen die Ergebnisse vor allem für Männer relativ gut überein. Die Verdienststrukturen erweisen sich als sehr differenziert, beispielsweise nehmen geschlechtsspezifische und qualifikatorische Verdienstunterschiede wie auch die Verdienstdispersion innerhalb einer Arbeitnehmergruppe typischerweise mit dem Alter zu.

Suggested Citation

  • Fitzenberger, Bernd & Reize, Frank, 2002. "Quantilsregressionen der westdeutschen Verdienste: Ein Vergleich zwischen der Gehalts- und Lohnstrukturerhebung und der IAB-Beschäftigtenstichprobe," ZEW Discussion Papers 02-79, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:439
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/24151/1/dp0279.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444606, January.
    2. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    3. Bilias, Yannis & Chen, Songnian & Ying, Zhiliang, 2000. "Simple resampling methods for censored regression quantiles," Journal of Econometrics, Elsevier, vol. 99(2), pages 373-386, December.
    4. Sims,Christopher A. (ed.), 1994. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521444590, January.
    5. Fitzenberger, Bernd & Winker, Peter, 2007. "Improving the computation of censored quantile regressions," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 88-108, September.
    6. Reinhard Hujer & Bernd Fitzenberger & Reinhold Schnabel & Thomas E. MaCurdy, 2001. "Testing for uniform wage trends in West-Germany: A cohort analysis using quantile regressions for censored data," Empirical Economics, Springer, vol. 26(1), pages 41-86.
    7. Bernd Fitzenberger & Gaby Wunderlich, 2002. "Gender Wage Differences in West Germany: A Cohort Analysis," German Economic Review, Verein für Socialpolitik, vol. 3(4), pages 379-414, November.
    8. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    9. Möller Joachim, 1999. "Die Entwicklung der qualifikatorischen Lohnund Beschäftigungsstruktur in Deutschland / Changes of the Structure of Wages and Employment with Respect to Qualifications in Germany: Eine empirische Besta," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 219(1-2), pages 8-31.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Fitzenberger, Bernd & Kohn, Karsten, 2006. "Skill Wage Premia, Employment, and Cohort Effects: Are Workers in Germany All of the Same Type?," IZA Discussion Papers 2185, Institute of Labor Economics (IZA).
    2. Hübler, Olaf, 2003. "Geschlechtsspezifische Lohnunterschiede (Gender-specific wage differentials)," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 36(4), pages 539-559.
    3. Binder, Jan & Schwengler, Barbara, 2006. "Korrekturverfahren zur Berechnung der Einkommen über der Beitragsbemessungsgrenze," IAB-Discussion Paper 200604, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Börsch-Supan, Axel & Reil-Held, Anette & Wilke, Christina Benita, 2007. "Zur Sozialversicherungsfreiheit der Entgeltumwandlung," Papers 07-12, Sonderforschungsbreich 504.
    5. Börsch-Supan, Axel & Reil-Held, Anette & Wilke, Christina, 2007. "Zur Sozialversicherungsfreiheit der Entgeltumwandlung," Sonderforschungsbereich 504 Publications 07-12, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    6. Hübler, Olaf, 2003. "Geschlechtsspezifische Lohnunterschiede (Gender-specific wage differentials)," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 36(4), pages 539-559.

    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. Bilias, Yannis & Chen, Songnian & Ying, Zhiliang, 2000. "Simple resampling methods for censored regression quantiles," Journal of Econometrics, Elsevier, vol. 99(2), pages 373-386, December.
    2. Bernd Fitzenberger & Gaby Wunderlich, 2002. "Gender Wage Differences in West Germany: A Cohort Analysis," German Economic Review, Verein für Socialpolitik, vol. 3(4), pages 379-414, November.
    3. Bernd Fitzenberger & Ralf Wilke, 2006. "Using quantile regression for duration analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 105-120, March.
    4. Albrecht, James & van Vuuren, Aico & Vroman, Susan, 2009. "Counterfactual distributions with sample selection adjustments: Econometric theory and an application to the Netherlands," Labour Economics, Elsevier, vol. 16(4), pages 383-396, August.
    5. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, vol. 168(4), pages 519-540, December.
    6. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Dispersion estimation; Earnings risk; Censoring; Quantile regression; Occupational choice; Sorting; Risk preferences; SOEP; IABS," ECONtribute Discussion Papers Series 028, University of Bonn and University of Cologne, Germany.
    7. James Albrecht & Aico van Vuuren & Susan Vroman, 2004. "Decomposing the Gender Wage Gap in the Netherlands with Sample Selection Adjustments," Tinbergen Institute Discussion Papers 04-123/3, Tinbergen Institute.
    8. repec:hal:wpspec:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
    9. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    10. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
    11. Manquilef-Bächler, Alejandra A. & Arulampalam, Wiji & Smith, Jennifer C., 2009. "Differences in Decline: Quantile Regression Analysis of Union Wage Differentials in the United Kingdom, 1991-2003," IZA Discussion Papers 4138, Institute of Labor Economics (IZA).
    12. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.
    13. repec:ehu:dfaeii:6722 is not listed on IDEAS
    14. Ji, Yonggang & Lin, Nan & Zhang, Baoxue, 2012. "Model selection in binary and tobit quantile regression using the Gibbs sampler," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 827-839.
    15. Juan J. Dolado & Vanesa Llorens, 2004. "Gender Wage Gaps by Education in Spain: Glass Floors Vs. Glass Ceilings," Working Papers wp2004_0403, CEMFI.
    16. Amini, Chiara & Commander, Simon, 2012. "Educational scores: How does Russia fare?," Journal of Comparative Economics, Elsevier, vol. 40(3), pages 508-527.
    17. Z. L. Yang & Y. K. Tse, 2006. "Modelling firm‐size distribution using Box–Cox heteroscedastic regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 641-653, July.
    18. Machado, Jose A F & Santos Silva, Joao M C, 2008. "Quantiles for Fractions and Other Mixed Data," Economics Discussion Papers 3550, University of Essex, Department of Economics.
    19. Holmes, Paul, 2011. "New evidence of salary discrimination in major league baseball," Labour Economics, Elsevier, vol. 18(3), pages 320-331, June.
    20. Oka, Tatsushi & Qu, Zhongjun, 2011. "Estimating structural changes in regression quantiles," Journal of Econometrics, Elsevier, vol. 162(2), pages 248-267, June.
    21. repec:hal:spmain:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
    22. repec:spo:wpmain:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
    23. Horowitz, Joel L. & Spokoiny, Vladimir G., 2000. "An Adaptive, Rate-Optimal Test of Linearity for Median Regression Models," Working Papers 00-04, University of Iowa, Department of Economics.
    24. Manuel Arellano & Stéphane Bonhomme, 2017. "Sample Selection in Quantile Regression: A Survey," Working Papers wp2018_1702, CEMFI.

    More about this item

    Keywords

    Verdienststrukturen; Gehalts- und Lohnstrukturerhebung; IAB-Beschäftigtenstichprobe; Quantilsregressionen;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:zbw:zewdip:439. See general information about how to correct material in RePEc.

    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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.