Advanced Search
MyIDEAS: Login

In Search of ‘ W’

Contents:

Author Info

  • Richard Harris
  • John Moffat
  • Victoria Kravtsova

Abstract

The paper discusses the standard approaches in constructing the spatial weights matrix, W, and the implications of using such approaches in terms of the potential mis-specification of W. We then look at more recent attempts to measure W in the literature, including: Bayesian (searching for ‘best fit’); non-parametric techniques; the use of spatial correlation to estimate W; other iteration techniques; and alternative approaches. Lastly, an illustration is provided based on estimating spatial lag models determining establishment level R&D spending in the UK, finding that differently constructed W matrices produce different estimates of spatial spillovers. A la recherche du « W » R ésumé La présente communication se penche sur les méthodes standards de la structure de la matrice de poids spatiale «W», et les implications de l'emploi de ces méthodes sur le plan d'une erreur de spécification potentielle de W. Elle se penche ensuite sur des tentatives plus récentes de mesure de W dans certains ouvrages, y compris des inférences bayésiennes (recherche de meilleure probabilité); des techniques non paramétriques; l'emploi d'une corrélation spatiale pour l’évaluation de W; des techniques d'itération diverses; et d'autres méthodes en alternative. Enfin, elle contient une illustration basée sur l'estimation de modèles à décalage spatial permettant de déterminer le niveau d’établissement de dépenses en R&D au Royaume-Uni, qui conclut que des matrices W à structure différente produisent différentes évaluations de débordement spatial. En busca de ‘ W ’ E xtracto Este trabajo trata los planteamientos típicos al construir la matriz de ponderaciones espaciales, W, y las implicaciones de utilizar dichos planteamientos en términos de la posible especificación errónea de W. Seguidamente, examinamos intentos más recientes de ponderar W en la bibliografía, incluyendo: bayesiano (búsqueda de lo que ‘mejor encaja’); técnicas no paramétricas; el uso de correlación espacial para estimar W; otras técnicas de iteración; y planteamientos alternativos. Finalmente, se ofrece una ilustración basada en estimar modelos de retardo (lag) espacial que determinan el gasto en I+D a nivel de establecimiento en el Reino Unido; se descubre que matrices W construidas de forma diferente producen estimaciones diferentes de excedentes (spillovers) espaciales.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://hdl.handle.net/10.1080/17421772.2011.586721
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Spatial Economic Analysis.

Volume (Year): 6 (2011)
Issue (Month): 3 (February)
Pages: 249-270

as in new window
Handle: RePEc:taf:specan:v:6:y:2011:i:3:p:249-270

Contact details of provider:
Web page: http://www.tandfonline.com/RSEA20

Order Information:
Web: http://www.tandfonline.com/pricing/journal/RSEA20

Related research

Keywords:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

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

Cited by:
  1. Ernest Miguele & Rosina Moreno, 2012. "Do labour mobility and networks foster geographical knowledge diffusion? The case of European regions," Working Papers XREAP2012-14, Xarxa de Referència en Economia Aplicada (XREAP), revised Jul 2012.
  2. R. Basile & S. Usai, 2012. "Analysis of regional endogenous growth," Working Paper CRENoS 201211, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  3. Ernest Miguélez & Rosina Moreno, 2013. "“Do labour mobility and technological collaborations foster geographical knowledge diffusion? The case of European regions”," AQR Working Papers 201306, University of Barcelona, Regional Quantitative Analysis Group, revised Jul 2013.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:taf:specan:v:6:y:2011:i:3:p:249-270. 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: (Michael McNulty).

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.