Advanced Search
MyIDEAS: Login

What Determined Conservative Success in the 2010 U.K. General Election? A Bayesian Spatial Econometric Analysis

Contents:

Author Info

  • Christa Jensen

    ()
    (Department of Economics, West Virginia University)

  • Donald Lacombe

    ()
    (Department of Economics, West Virginia University)

  • Stuart Mcintyre

    ()
    (Department of Economics, University of Strathclyde)

Abstract

The Conservative Party won the recent General Election in the United Kingdom (UK), gaining the most votes and seats of any single party. Conservatives simultaneously performed particularly well in some areas of the UK and poorly in others. In attempting to explain the variation in voting behaviour during this election, we consider an analysis involving an explicit accounting of geographic considerations. The spatial econometric analysis of voting behaviour is still quite rare in the literature, and analyses using a full suite of models, as employed here, are even rarer. We use data from various sources to examine the effects of a range of economic, socio-economic, and political variables on the percentage of the vote obtained by the Conservative Party in each UK constituency in the 2010 General Election. We employ recent advances in Bayesian spatial econometric modelling to determine the appropriate model for drawing these inferences. We find that there is significant spatial error dependence in a model of the percentage of the vote obtained by the Conservative Party in the 2010 UK General Election, justifying the use of spatial econometric methods for our analysis. By explicitly modelling this spatial phenomenon, we get better estimates of the impact of our chosen economic, socio-economic, and political explanatory variables. Results that seem contrary to our prior expectations when using a non-spatial regression model change when estimated using spatial econometric techniques.

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://www.strath.ac.uk/media/departments/economics/10-24_final.pdf
Our checks indicate that this address may not be valid because: 404 Not Found. If this is indeed the case, please notify (Kirsty Hall)
Download Restriction: no

Bibliographic Info

Paper provided by University of Strathclyde Business School, Department of Economics in its series Working Papers with number 1024.

as in new window
Length: 37 pages
Date of creation: Oct 2010
Date of revision:
Handle: RePEc:str:wpaper:1024

Contact details of provider:
Postal: Sir William Duncan Building, 130 Rottenrow, Glasgow G4 0GE
Phone: +44 (0)141 548 3842
Fax: +44 (0)141 548 4445
Email:
Web page: http://www.strath.ac.uk/economics/
More information through EDIRC

Related research

Keywords: Bayesian spatial econometric analysis; spatial voting analysis; UK General Election 2010;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Olivier Parent & James P. Lesage, 2007. "Bayesian Model Averaging for Spatial Econometric Models ," University of Cincinnati, Economics Working Papers Series 2007-02, University of Cincinnati, Department of Economics.
  2. R. Kelley Pace & James P. LeSage, 2004. "Spatial Statistics and Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 147-148, 09.
Full references (including those not matched with items on IDEAS)

Citations

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:str:wpaper:1024. 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: (Kirsty Hall).

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.