What Determined Conservative Success in the 2010 U.K. General Election? A Bayesian Spatial Econometric Analysis
AbstractThe 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 InfoIf 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.
Bibliographic InfoPaper provided by University of Strathclyde Business School, Department of Economics in its series Working Papers with number 1024.
Length: 37 pages
Date of creation: Oct 2010
Date of revision:
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
Web page: http://www.strath.ac.uk/economics/
More information through EDIRC
Bayesian spatial econometric analysis; spatial voting analysis; UK General Election 2010;
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-11-27 (All new papers)
- NEP-CDM-2010-11-27 (Collective Decision-Making)
- NEP-POL-2010-11-27 (Positive Political Economics)
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.:
- 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.
- 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kirsty Hall).
If references are entirely missing, you can add them using this form.