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What Small Spatial Scales Are Relevant as Electoral Contexts for Individual Voters? The Importance of the Household on Turnout at the 2001 General Election

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  • David Cutts
  • Edward Fieldhouse

Abstract

For many years, scholars of voting behavior have been thwarted in their attempts to identify micro spatial variations in turnout by data limitations. This has meant that most analyses have been ecological, which has implications for valid inference. Here, for the first time, a hierarchical approach is used to show the relative importance of several micro spatial scales, including the household, on voter participation. The findings highlight the importance of the household context. While those who live together often turn out together, the relative level of clustering within households as opposed to between geographical areas is found to be more important for two‐person households compared to other households. Even after taking account of whether individuals are likely to self‐select others from similar social backgrounds or with similar political attitudes, there is strong evidence of large and significant household effects on voter participation.

Suggested Citation

  • David Cutts & Edward Fieldhouse, 2009. "What Small Spatial Scales Are Relevant as Electoral Contexts for Individual Voters? The Importance of the Household on Turnout at the 2001 General Election," American Journal of Political Science, John Wiley & Sons, vol. 53(3), pages 726-739, July.
  • Handle: RePEc:wly:amposc:v:53:y:2009:i:3:p:726-739
    DOI: 10.1111/j.1540-5907.2009.00397.x
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    1. Harvey Goldstein & Jon Rasbash, 1996. "Improved Approximations for Multilevel Models with Binary Responses," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(3), pages 505-513, May.
    2. Johnston, Ron & Propper, Carol & Burgess, Simon & Sarker, Rebecca & Bolster, Anne & Jones, Kelvyn, 2005. "Spatial Scale and the Neighbourhood Effect: Multinomial Models of Voting at Two Recent British General Elections," British Journal of Political Science, Cambridge University Press, vol. 35(3), pages 487-514, July.
    3. Miller, W. L., 1978. "Social Class and Party Choice in England: A New Analysis," British Journal of Political Science, Cambridge University Press, vol. 8(3), pages 257-284, July.
    4. W. J. Browne & S. V. Subramanian & K. Jones & H. Goldstein, 2005. "Variance partitioning in multilevel logistic models that exhibit overdispersion," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(3), pages 599-613, July.
    5. Angelika van der Linde, 2005. "DIC in variable selection," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(1), pages 45-56, February.
    6. Germáan Rodríguez & Noreen Goldman, 1995. "An Assessment of Estimation Procedures for Multilevel Models with Binary Responses," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(1), pages 73-89, January.
    7. Nickerson, David W., 2008. "Is Voting Contagious? Evidence from Two Field Experiments," American Political Science Review, Cambridge University Press, vol. 102(1), pages 49-57, February.
    8. Jennings, M. Kent & Niemi, Richard G., 1968. "The Transmission of Political Values from Parent to Child," American Political Science Review, Cambridge University Press, vol. 62(1), pages 169-184, March.
    9. Charles Pattie & Ron Johnston, 1999. "Context, Conversation and Conviction: Social Networks and Voting at the 1992 British General Election," Political Studies, Political Studies Association, vol. 47(5), pages 877-889, December.
    10. Ron Johnston & Kelvyn Jones & Carol Propper & Simon Burgess, 2007. "Region, Local Context, and Voting at the 1997 General Election in England," American Journal of Political Science, John Wiley & Sons, vol. 51(3), pages 640-654, July.
    11. Menard, Scott, 2004. "Six Approaches to Calculating Standardized Logistic Regression Coefficients," The American Statistician, American Statistical Association, vol. 58, pages 218-223, August.
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    2. Bellettini, Giorgio & Ceroni, Carlotta Berti & Cantoni, Enrico & Monfardini, Chiara, 2018. "Family Structure and the Turnout Gender Gap: Evidence from Italy," IZA Discussion Papers 11384, Institute of Labor Economics (IZA).
    3. Florian Foos & Eline A. de Rooij, 2017. "All in the Family: Partisan Disagreement and Electoral Mobilization in Intimate Networks—A Spillover Experiment," American Journal of Political Science, John Wiley & Sons, vol. 61(2), pages 289-304, April.

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