IDEAS home Printed from https://ideas.repec.org/a/dah/aeqsjb/v135_y2015_i1_q1_p13-22.html
   My bibliography  Save this article

A Semiparametric Analysis of Conditional Income Distributions

Author

Listed:
  • Alexander Sohn
  • Nadja Klein
  • Thomas Kneib

Abstract

We explore the application of structured additive distributional regression for the analysis of conditional income distributions in Germany following the reunification using the German Socio Economic Panel (SOEP) database. This methodology allows us to explore both between and within income inequality at a highly disaggregated level. Using a bootstrapped version of the Kolmogorov-Smirnov test, we find that conditional personal income distributions can generally be modelled using a mixture distribution entailing the three parameter Dagum distribution.

Suggested Citation

  • Alexander Sohn & Nadja Klein & Thomas Kneib, 2015. "A Semiparametric Analysis of Conditional Income Distributions," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 135(1), pages 13-22.
    • Handle: RePEc:dah:aeqsjb:v135_y2015_i1_q1_p13-22
    DOI: 10.3790/schm.135.1.13
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.3790/schm.135.1.13
    Download Restriction: no
    File URL: https://libkey.io/10.3790/schm.135.1.13?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Santiago Pindado & Carlos Pindado & Javier Cubas, 2017. "Fréchet Distribution Applied to Salary Incomes in Spain from 1999 to 2014. An Engineering Approach to Changes in Salaries’ Distribution," Economies, MDPI, vol. 5(2), pages 1-19, May.
    2. Maike Hohberg & Katja Landau & Thomas Kneib & Stephan Klasen & Walter Zucchini, 2018. "Vulnerability to poverty revisited: Flexible modeling and better predictive performance," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(3), pages 439-454, September.

    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:dah:aeqsjb:v135_y2015_i1_q1_p13-22. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: E-Publishing-Team (email available below). General contact details of provider: https://www.duncker-humblot.de .

    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.