IDEAS home Printed from https://ideas.repec.org/a/sae/pubfin/v35y2007i4p480-499.html
   My bibliography  Save this article

Accounting for Spatial Error Correlation in the 2004 Presidential Popular Vote

Author

Listed:
  • Donald J. Lacombe

    (Ohio University)

  • Timothy M. Shaughnessy

    (LSU in Shreveport)

Abstract

One problem with describing election vote shares using ordinary least squares (OLS) is that it ignores the possible presence of spatial error correlation, whereby the errors are correlated in a systematic manner over space. This omission can bias OLS standard errors. We examine the 2004 presidential county vote outcome using OLS and a spatial error model (SEM) that accounts for spatial autocorrelation in the error structure. We find that spatial error correlation is present, that the SEM is superior to OLS for making inferences, and that several factors deemed important to the 2004 election outcome are not significant once the spatial error autocorrelation is taken into account.

Suggested Citation

  • Donald J. Lacombe & Timothy M. Shaughnessy, 2007. "Accounting for Spatial Error Correlation in the 2004 Presidential Popular Vote," Public Finance Review, , vol. 35(4), pages 480-499, July.
    • Handle: RePEc:sae:pubfin:v:35:y:2007:i:4:p:480-499
    DOI: 10.1177/1091142106295768
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1091142106295768
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1091142106295768?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Florax, Raymond J. G. M. & Folmer, Hendrik & Rey, Sergio J., 2003. "Specification searches in spatial econometrics: the relevance of Hendry's methodology," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 557-579, September.
    2. Brasington, David M. & Hite, Diane, 2005. "Demand for environmental quality: a spatial hedonic analysis," Regional Science and Urban Economics, Elsevier, vol. 35(1), pages 57-82, January.
    3. Garrett, Thomas A. & Marsh, Thomas L., 2002. "The revenue impacts of cross-border lottery shopping in the presence of spatial autocorrelation," Regional Science and Urban Economics, Elsevier, vol. 32(4), pages 501-519, July.
    4. Ray C. Fair, 1996. "Econometrics and Presidential Elections," Journal of Economic Perspectives, American Economic Association, vol. 10(3), pages 89-102, Summer.
    5. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    6. Dubin, Robin A., 1998. "Spatial Autocorrelation: A Primer," Journal of Housing Economics, Elsevier, vol. 7(4), pages 304-327, December.
    7. Eisenberg Daniel & Ketcham Jonathan, 2004. "Economic Voting in U.S. Presidential Elections: Who Blames Whom for What," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-25, August.
    8. 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, September.
    9. David M. Brasington & Diane Hite, 2005. "Demand for Environmental Quality: A Spatial Hedonic Approach," Departmental Working Papers 2005-08, Department of Economics, Louisiana State University.
    10. David M. Brasington, 2004. "House Prices and the Structure of Local Government: An Application of Spatial Statistics," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 211-231, September.
    11. Jeffrey P. Cohen, 2002. "Reciprocal State and Local Airport Spending Spillovers and Symmetric Responses to Cuts and Increases in Federal Airport Grants," Public Finance Review, , vol. 30(1), pages 41-55, January.
    12. LeSage, James P., 1997. "Regression Analysis of Spatial Data," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 27(2), pages 1-12.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Le, Canh Quang & Li, Dong, 2008. "Double-Length Regression tests for testing functional forms and spatial error dependence," Economics Letters, Elsevier, vol. 101(3), pages 253-257, December.
    2. Donald J. Lacombe & James P. LeSage, 2018. "Use and interpretation of spatial autoregressive probit models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 1-24, January.
    3. Douglas M. Walker & Todd M. Nesbit, 2014. "Casino Revenue Sensitivity to Competing Casinos: A Spatial Analysis of Missouri," Growth and Change, Wiley Blackwell, vol. 45(1), pages 21-40, March.
    4. Burnett, Wesley & Lacombe, Donald J., 2012. "Accounting for Spatial Autocorrelation in the 2004 Presidential Popular Vote: A Reassessment of the Evidence," The Review of Regional Studies, Southern Regional Science Association, vol. 42(1), pages 75-89, Spring.
    5. Robert Lawson & Todd Nesbit, 2013. "Alchian and Allen Revisited: Law Enforcement and the Price of Weed," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 41(4), pages 363-370, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anselin, Luc, 2007. "Spatial econometrics in RSUE: Retrospect and prospect," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 450-456, July.
    2. David Maddison, 2009. "A Spatio‐temporal Model of Farmland Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 171-189, February.
    3. Joshua C. Hall, 2013. "Does School District and Municipality Border Congruence Matter? A Spatial Hedonic Approach," Working Papers 13-02, Department of Economics, West Virginia University.
    4. Joshua C. Hall & Justin M. Ross, 2010. "Tiebout Competition, Yardstick Competition, and Tax Instrument Choice: Evidence from Ohio School Districts," Public Finance Review, , vol. 38(6), pages 710-737, November.
    5. Joshua Hall, 2017. "Does school district and municipality border congruence matter?," Urban Studies, Urban Studies Journal Limited, vol. 54(7), pages 1601-1618, May.
    6. Jeffrey P. Cohen & Cletus C. Coughlin, 2008. "Spatial Hedonic Models Of Airport Noise, Proximity, And Housing Prices," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 859-878, December.
    7. Stadelmann, David, 2010. "Which factors capitalize into house prices? A Bayesian averaging approach," Journal of Housing Economics, Elsevier, vol. 19(3), pages 180-204, September.
    8. Lacombe, Donald J. & Coats, R. Morris & Shughart II, William F. & Karahan, Gökhan, 2016. "Corruption and Voter Turnout: A Spatial Econometric Approach," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(2), December.
    9. Charlene Kalenkoski & Donald Lacombe, 2008. "Effects of Minimum Wages on Youth Employment: the Importance of Accounting for Spatial Correlation," Journal of Labor Research, Springer, vol. 29(4), pages 303-317, December.
    10. Julia Koschinsky & Nancy Lozano-Gracia & Gianfranco Piras, 2012. "The welfare benefit of a home’s location: an empirical comparison of spatial and non-spatial model estimates," Journal of Geographical Systems, Springer, vol. 14(3), pages 319-356, July.
    11. Andres Jauregui & Diane Hite, 2010. "The impact of real estate agents on house prices near environmental disamenities," Housing Policy Debate, Taylor & Francis Journals, vol. 20(2), pages 295-316, March.
    12. Burnett, Wesley & Lacombe, Donald J., 2012. "Accounting for Spatial Autocorrelation in the 2004 Presidential Popular Vote: A Reassessment of the Evidence," The Review of Regional Studies, Southern Regional Science Association, vol. 42(1), pages 75-89, Spring.
    13. Muriel Travers & Abdelhak Nassiri & Gildas Appéré & François Bonnieux, 2008. "Évaluation des bénéfices environnementaux par la méthode des prix hédonistes : une application au cas du littoral," Economie & Prévision, La Documentation Française, vol. 0(4), pages 47-62.
    14. Ida Ferrara & Stephen McComb & Paul Missios, 2007. "Local Willingness-to-Pay Estimates for the Remediation of the Sydney Tar Ponds in Nova Scotia," Canadian Public Policy, University of Toronto Press, vol. 33(4), pages 441-458, December.
    15. David Brasington, 2005. "School Choice and the Flight to Private Schools: To What Extent Are Public and Private Schools Substitutes?," Departmental Working Papers 2005-02, Department of Economics, Louisiana State University.
    16. David Christafore & Susane Leguizamon, 2015. "Willingness to Pay for Hospital Access in Areas with High Concentrations of Blacks," The Review of Regional Studies, Southern Regional Science Association, vol. 45(1), pages 87-104, Spring.
    17. Luc Anselin & Nancy Lozano-Gracia, 2009. "Errors in variables and spatial effects in hedonic house price models of ambient air quality," Studies in Empirical Economics, in: Giuseppe Arbia & Badi H. Baltagi (ed.), Spatial Econometrics, pages 5-34, Springer.
    18. Raymond J. G. M. Florax & Arno J. Van der Vlist, 2003. "Spatial Econometric Data Analysis: Moving Beyond Traditional Models," International Regional Science Review, , vol. 26(3), pages 223-243, July.
    19. Gustavo A. García & Edgar Julián Muñoz González & Stefany Gallego Ortiz, 2018. "Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano," Documentos de Trabajo de Valor Público 16499, Universidad EAFIT.
    20. Shanaka Herath & Johanna Choumert & Gunther Maier, 2015. "The value of the greenbelt in Vienna: a spatial hedonic analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 349-374, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:pubfin:v:35:y:2007:i:4:p:480-499. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.