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A fractionally cointegrated VAR analysis of economic voting and political support

Listed author(s):
  • Maggie E.C. Jones

    ()

    (Queen's University)

  • Morten Ørregaard Nielsen

    ()

    (Queen's University and CREATES)

  • Michal Ksawery Popiel

    ()

    (Queen's University)

We use a fractionally cointegrated vector autoregressive model to examine the relationship between Canadian political support and macroeconomic conditions. This model is well suited for the analysis because it allows multiple fractional time series and admits simple asymptotic inference for the model parameters and tests of the hypotheses of interest. In the long-run equilibrium, we find that support for the Progressive Conservative Party was higher during periods of high interest rates and low unemployment, while support for the Liberal Party was higher during periods of low interest rates and high unemployment. We also test and reject the notion that party support is driven only by relative (to the United States) economic performance. Indeed, our findings suggest that US macroeconomic variables do not enter the long-run equilibrium of Canadian economic voting (political opinion poll support) at all.

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File URL: http://qed.econ.queensu.ca/working_papers/papers/qed_wp_1326.pdf
File Function: First version 2014
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Paper provided by Queen's University, Department of Economics in its series Working Papers with number 1326.

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Length: 50 pages
Date of creation: Jun 2014
Handle: RePEc:qed:wpaper:1326
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  2. Søren Johansen & Morten Ørregaard Nielsen, 2012. "Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model," Econometrica, Econometric Society, vol. 80(6), pages 2667-2732, November.
  3. Michael Jansson & Morten Ørregaard Nielsen, 2012. "Nearly Efficient Likelihood Ratio Tests of the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 80(5), pages 2321-2332, 09.
  4. Fair, Ray C, 1978. "The Effect of Economic Events on Votes for President," The Review of Economics and Statistics, MIT Press, vol. 60(2), pages 159-173, May.
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  7. Andreas Noack Jensen & Morten Ørregaard Nielsen, 2014. "A Fast Fractional Difference Algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(5), pages 428-436, 08.
  8. Crato, Nuno & Rothman, Philip, 1994. "Fractional integration analysis of long-run behavior for US macroeconomic time series," Economics Letters, Elsevier, vol. 45(3), pages 287-291.
  9. Kenneth Rogoff & Anne Sibert, 1988. "Elections and Macroeconomic Policy Cycles," Review of Economic Studies, Oxford University Press, vol. 55(1), pages 1-16.
  10. Anthony Downs, 1957. "An Economic Theory of Political Action in a Democracy," Journal of Political Economy, University of Chicago Press, vol. 65, pages 135-135.
  11. Juan J. Dolado & Jesus Gonzalo & Laura Mayoral, 2002. "A Fractional Dickey-Fuller Test for Unit Roots," Econometrica, Econometric Society, vol. 70(5), pages 1963-2006, September.
  12. John Ferejohn, 1986. "Incumbent performance and electoral control," Public Choice, Springer, vol. 50(1), pages 5-25, January.
  13. David Byers & James Davidson & David Peel, 1997. "Modelling Political Popularity: an Analysis of Long-range Dependence in Opinion Poll Series," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 160(3), pages 471-490.
  14. O. Mikhail & C. J. Eberwein & J. Handa, 2006. "Estimating persistence in Canadian unemployment: evidence from a Bayesian ARFIMA," Applied Economics, Taylor & Francis Journals, vol. 38(15), pages 1809-1819.
  15. Morten Ørregaard Nielsen & Lealand Morin, 2014. "FCVARmodel.m: A Matlab software package for estimation and testing in the fractionally cointegrated VAR model," Working Papers 1273, Queen's University, Department of Economics.
  16. Luis Gil-Alana, 2002. "Modelling the Persistence of Unemployment in Canada," International Review of Applied Economics, Taylor & Francis Journals, vol. 16(4), pages 465-477.
  17. Laura Mayoral & Juan J. Dolado & Jesús Gonzalo, 2003. "Long-range dependence in Spanish political opinion poll series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 137-155.
  18. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
  19. Duch,Raymond M. & Stevenson,Randolph T., 2008. "The Economic Vote," Cambridge Books, Cambridge University Press, number 9780521707404, August.
  20. Robert Barro, 1973. "The control of politicians: An economic model," Public Choice, Springer, vol. 14(1), pages 19-42, March.
  21. David Byers & James Davidson & David Peel, 2007. "The long memory model of political support: some further results," Applied Economics, Taylor & Francis Journals, vol. 39(20), pages 2547-2552.
  22. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
  23. Duch,Raymond M. & Stevenson,Randolph T., 2008. "The Economic Vote," Cambridge Books, Cambridge University Press, number 9780521881029, August.
  24. Johansen, SØren, 2008. "A Representation Theory For A Class Of Vector Autoregressive Models For Fractional Processes," Econometric Theory, Cambridge University Press, vol. 24(03), pages 651-676, June.
  25. Cukierman, Alex & Meltzer, Allan H, 1989. "A Political Theory of Government Debt and Deficits in a Neo-Ricardian Framework," American Economic Review, American Economic Association, vol. 79(4), pages 713-732, September.
  26. Koustas, Z. & Veloce, W., 1994. "Unemployment Hysteresis in Canada: An Approach Based on Long-Memory Time Series Models," Working Papers 1994-5, Brock University, Department of Economics.
  27. Davidson James E. H. & Peel David A & Byers J. David, 2006. "Support for Governments and Leaders: Fractional Cointegration Analysis of Poll Evidence from the UK, 1960-2004," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(1), pages 1-23, March.
  28. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
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