IDEAS home Printed from https://ideas.repec.org/a/taf/specan/v13y2018i4p457-472.html
   My bibliography  Save this article

Reducing omitted-variable bias in spatial-interaction models by considering multiple neighbourhoods

Author

Listed:
  • Hugo Storm
  • Thomas Heckelei

Abstract

A major challenge in the analysis of micro-level spatial interaction is to distinguish actual interactions from the effects of spatially correlated omitted variables. We propose extending the simple spatially lagged explanatory (SLX) model to include two spatial weighting matrices at different spatial scales to reduce omitted-variable bias. The approach is suitable when actual interaction takes place on a smaller local level, while the omitted variables are spatially correlated at a larger regional level and correlated with the included characteristics. We provide an empirical motivation and use Monte Carlo simulation to illustrate the bias-reduction effects in certain settings.

Suggested Citation

  • Hugo Storm & Thomas Heckelei, 2018. "Reducing omitted-variable bias in spatial-interaction models by considering multiple neighbourhoods," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(4), pages 457-472, October.
  • Handle: RePEc:taf:specan:v:13:y:2018:i:4:p:457-472
    DOI: 10.1080/17421772.2018.1468571
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17421772.2018.1468571
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/17421772.2018.1468571?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Huber, Robert & Zabel, Astrid & Schleiffer, Mirjam & Vroege, Willemijn & Brändle, Julia M. & Finger, Robert, 2021. "Conservation Costs Drive Enrolment in Agglomeration Bonus Scheme," Ecological Economics, Elsevier, vol. 186(C).
    2. Vroege, Willemijn & Meraner, Manuela & Polman, Nico & Storm, Hugo & Heijman, Wim & Finger, Robert, 2020. "Beyond the single farm – A spatial econometric analysis of spill-overs in farm diversification in the Netherlands," Land Use Policy, Elsevier, vol. 99(C).

    More about this item

    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:taf:specan:v:13:y:2018:i:4:p:457-472. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RSEA20 .

    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.