IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa03p18.html
   My bibliography  Save this paper

A propensity score matching method for the link between accessibility and productivity

Author

Listed:
  • Tom Kristian Alex Petersen

Abstract

The connection between accessibility (or "highways" or "infrastructure") and productivity on a regional scale has been a matter of debate since Aschauer (1989). In this paper we use a panel data approach on the micro level, and a fine zonal subdivision in order to capture the effects on individual firms, both in terms of productivity and agglomeration. We study a cost function with a translog specification which we apply on a large unbalanced data set of firms in the Swedish part of the Öresund region: Scania. We use matching estimators for non-parametric tests of spatial dependence (agglomeration) and the accessibility dependence of productivity, thus avoiding sample selection bias. Key words: panel data, cost function, translog, Öresund region, accessibility, matching estimator

Suggested Citation

  • Tom Kristian Alex Petersen, 2003. "A propensity score matching method for the link between accessibility and productivity," ERSA conference papers ersa03p18, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa03p18
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa03/cdrom/papers/18.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Roberto Gabriele & Marco Zamarian & Enrico Zaninotto, 2006. "Assessing the economic impact of public industrial policies: an empirical investigation on subsidies," ROCK Working Papers 039, Department of Computer and Management Sciences, University of Trento, Italy, revised 12 Jun 2008.

    More about this item

    Keywords

    panel data; cost function; translog; öresund region; accessibility; matching estimator;
    All these keywords.

    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:wiw:wiwrsa:ersa03p18. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.