IDEAS home Printed from https://ideas.repec.org/p/hhs/umnees/0716.html
   My bibliography  Save this paper

Earnings Mobility and Origin Dependence: What can twins say together with nonparametric econometrics?

Author

Listed:
  • Nilsson, William

    () (Department of Economics, Umeå University)

Abstract

This study focuses on earnings immobility and its relation to the originin terms of both the social background and the initial position in the earnings distribution. Twin data is used to reveal the importance for the common background for immobility. A nonparametric technique is used to study if the immobility varies over the distribution. The results indicate strong immobility, an important effect of the background, and that these effects vary over the distribution. For the male monozygotic sample, the social background accounts for 71-88 percent of the immobility in deciles 3 to 7, where the background is found to be most important. The common background has its strongest impact in deciles 6 to 10 for the female sample, where these effects accounts for 66-77 percent of the immobility. Comparing results for monozygotic and dizygotic twins also indicate that genes play an important role in income immobility.

Suggested Citation

  • Nilsson, William, 2007. "Earnings Mobility and Origin Dependence: What can twins say together with nonparametric econometrics?," Umeå Economic Studies 716, Umeå University, Department of Economics.
  • Handle: RePEc:hhs:umnees:0716
    as

    Download full text from publisher

    File URL: http://www.econ.umu.se/DownloadAsset.action?contentId=48279&languageId=3&assetKey=ues716
    Download Restriction: no

    More about this item

    Keywords

    Earnings mobility; nonparametric; twins;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hhs:umnees:0716. 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: (David Skog) or (Benny Carlsson). General contact details of provider: http://edirc.repec.org/data/inumuse.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.

    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.