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Mostly pointless spatial econometrics?

  • Steve Gibbons
  • Henry G. Overman

We argue that identification problems bedevil most applied spatial research. Spatial econometrics solves these problems by deriving estimators assuming that functional forms are known and by using model comparison techniques to let the data choose between competing specifications. We argue that in most situations of interest this, at best, achieves only very weak identification. Worse, in most cases, such an approach will simply be uninformative about the economic processes at work rendering much applied spatial econometric research ‘pointless’, unless the main aim is simply description of the data. We advocate an alternative approach based on the ‘experimental paradigm’ which puts issues of identification and causality at centre stage.

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File URL: http://eprints.lse.ac.uk/33559/
File Function: Open access version.
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Paper provided by London School of Economics and Political Science, LSE Library in its series LSE Research Online Documents on Economics with number 33559.

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Length: 28 pages
Date of creation: Oct 2010
Date of revision:
Handle: RePEc:ehl:lserod:33559
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Web page: http://www.lse.ac.uk/

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  34. Stephen Gibbons & Stephen Machin & Olmo Silva, 2012. "Valuing school quality using boundary discontinuities," LSE Research Online Documents on Economics 45239, London School of Economics and Political Science, LSE Library.
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