IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20000067.html
   My bibliography  Save this paper

Using Firm Data to assess the Performance of Equilibrium Search Models of the Labor Market

Author

Listed:
  • Gerard J. van den Berg
  • Aico van Vuuren

    (Vrije Universiteit Amsterdam)

Abstract

Equilibrium search models are useful tools for the evaluation oflabor market policies. Recently developed equilibrium search models of thelabor market are able to fit the wage distribution perfectly with longitudinallabor supply data, by estimating an appropriate distribution of laborproductivity across firms. This paper formally compares such structuralestimates to their directly observed counterparts in firm data. More generally,we investigate the extent to which these models are able to explain theobserved distributions of wages, productivities and firm sizes across firms, aswell as the extent to which they are able to explain the observed relationshipsbetween these variables across firms. The parameters that capture searchfrictions are estimated with worker data that are matched to the firm data.

Suggested Citation

  • Gerard J. van den Berg & Aico van Vuuren, 2000. "Using Firm Data to assess the Performance of Equilibrium Search Models of the Labor Market," Tinbergen Institute Discussion Papers 00-067/3, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20000067
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/00067.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Jan Eeckhout & Philipp Kircher, 2011. "Identifying Sorting--In Theory," Review of Economic Studies, Oxford University Press, vol. 78(3), pages 872-906.
    2. Tomi Kyyrä, 2007. "Estimating Equilibrium Search Models from Finnish Data," Finnish Economic Papers, Finnish Economic Association, vol. 20(2), pages 139-165, Autumn.

    More about this item

    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:tin:wpaper:20000067. 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: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.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.