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A Fractionally Cointegrated Var Analysis Of Economic Voting And Political Support

Author

Listed:
  • Maggie Jones

    (Department of Economics, University of Victoria)

  • Morten Ø. Nielsen

    () (Queen's University and CREATES)

  • Michal Ksawery Popiel

    (Queen's University)

Abstract

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.

Suggested Citation

  • Maggie Jones & Morten Ø. Nielsen & Michal Ksawery Popiel, 2014. "A Fractionally Cointegrated Var Analysis Of Economic Voting And Political Support," Working Paper 1326, Economics Department, Queen's University.
  • Handle: RePEc:qed:wpaper:1326
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    File URL: https://www.econ.queensu.ca/sites/econ.queensu.ca/files/qed_wp_1326.pdf
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2016. "International stock market cointegration under the risk-neutral measure," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 243-255.
    2. Xenia Frei & Sebastian Langer & Robert Lehmann & Felix Roesel, 2020. "Electoral Externalities in Federations – Evidence from German Opinion Polls," Kyklos, Wiley Blackwell, vol. 73(2), pages 227-252, May.
    3. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2015. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," Working Paper 1340, Economics Department, Queen's University.
    4. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, Open Access Journal, vol. 7(1), pages 1-25, February.
    5. Vadim Kufenko & Niels Geiger, 2016. "Business cycles in the economy and in economics: an econometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 43-69, April.
    6. Salisu, Afees A. & Ndako, Umar B. & Adediran, Idris A. & Swaray, Raymond, 2020. "A fractional cointegration VAR analysis of Islamic stocks: A global perspective," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    7. Tule, Moses K. & Salisu, Afees A. & Ebuh, Godday U., 2020. "A test for inflation persistence in Nigeria using fractional integration & fractional cointegration techniques," Economic Modelling, Elsevier, vol. 87(C), pages 225-237.
    8. Gil-Alana, Luis A. & Carcel, Hector, 2020. "A fractional cointegration var analysis of exchange rate dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    9. José Carlos Vides & Antonio A. Golpe & Jesús Iglesias, 2018. "How did the Sovereign debt crisis affect the Euro financial integration? A fractional cointegration approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 685-706, November.
    10. Alexander Boca Saravia & Gabriel Rodríguez, 2019. "Presidential Approval in Peru: An Empirical Analysis Using a Fractionally Cointegrated VAR," Documentos de Trabajo / Working Papers 2019-480, Departamento de Economía - Pontificia Universidad Católica del Perú.
    11. Morten Ø. Nielsen & Michal Ksawery Popiel, 2018. "A Matlab Program And User's Guide For The Fractionally Cointegrated Var Model," Working Paper 1330, Economics Department, Queen's University.
    12. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).

    More about this item

    Keywords

    Economic voting; fractional cointegration; political economy; vector autoregressive model;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior

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