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Does Political Stability Matter for the UK and the USA? The Time Variant Analysis through Rolling Window Causality Approach

Author

Listed:
  • Ali Sajid

    (Department of Public Administration, Karachi University & IQRA University, Karachi, Pakistan.)

  • Raza Syed Ali

    (Department of Business Administration, IQRA University, Karachi, Pakistan & Adnan Kassar School of Business, Lebanese American University, Beirut, Lebanon.)

  • Ahmed Maiyra

    (Iqra University, Karachi, Pakistan)

Abstract

The study aims to examine the time-varying causality between political stability and economic growth. Secondly, study also evaluates the effect of political stability on economic growth of the United Kingdom and the United States. Therefore, a time-series model is proposed to assess the framework’s constancy with time, which assumes that the coefficients are stable throughout time. A rolling window technique has been applied to the dataset from the year 2002 to 2019, respectively. The results indicate that the time-varying positive bidirectional causality is present between political stability and economic growth for a particular subsample, verifying the effect of political stability on economic growth and vice versa. Hence, our results exhibit that the connection between two-series would benefit the economy due to the positive yet significant relationship. Therefore, uncertain political conditions would directly affect the economy’s growth rate in terms of tourism, currency value, investment, and other growth factors. Whereas, if the uncertainty regarding the political environment reduces, it would be advantageous for economic development.

Suggested Citation

  • Ali Sajid & Raza Syed Ali & Ahmed Maiyra, 2024. "Does Political Stability Matter for the UK and the USA? The Time Variant Analysis through Rolling Window Causality Approach," Zagreb International Review of Economics and Business, Sciendo, vol. 27(2), pages 75-100.
    • Handle: RePEc:vrs:zirebs:v:27:y:2024:i:2:p:75-100:n:1004
    DOI: 10.2478/zireb-2024-0018
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    References listed on IDEAS

    as
    1. Pesaran, M. Hashem & Timmermann, Allan, 2005. "Small sample properties of forecasts from autoregressive models under structural breaks," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 183-217.
    2. Toda, Hiro Y & Phillips, Peter C B, 1993. "Vector Autoregressions and Causality," Econometrica, Econometric Society, vol. 61(6), pages 1367-1393, November.
    3. Mantalos Panagiotis, 2000. "A Graphical Investigation of the Size and Power of the Granger-Causality Tests in Integrated-Cointegrated VAR Systems," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(1), pages 1-18, April.
    4. Jing-Ping Li & Jiao-Jiao Fan & Chi-Wei Su & Oana-Ramona Lobonţ, 2017. "Investment coordinates in the context of housing and stock markets nexus," Applied Economics Letters, Taylor & Francis Journals, vol. 24(20), pages 1455-1463, November.
    5. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    6. Polyzos, Stathis & Samitas, Aristeidis & Katsaiti, Marina-Selini, 2020. "Who is unhappy for Brexit? A machine-learning, agent-based study on financial instability," International Review of Financial Analysis, Elsevier, vol. 72(C).
    7. Gurgul, Henryk & Lach, Łukasz, 2012. "Political instability and economic growth: Evidence from two decades of transition in CEE," MPRA Paper 37792, University Library of Munich, Germany.
    8. Thomas Sampson, 2017. "Brexit: The Economics of International Disintegration," Journal of Economic Perspectives, American Economic Association, vol. 31(4), pages 163-184, Fall.
    9. Demiralay, Sercan, 2020. "Political uncertainty and the us tourism index returns," Annals of Tourism Research, Elsevier, vol. 84(C).
    10. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    11. Hansen, Bruce E., 1992. "Testing for parameter instability in linear models," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 517-533, August.
    12. Samitas, Aristeidis & Kampouris, Elias, 2018. "Empirical investigation of co-authorship in the field of finance: A network perspective," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 235-246.
    13. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    14. Aisen, Ari & Veiga, Francisco José, 2013. "How does political instability affect economic growth?," European Journal of Political Economy, Elsevier, vol. 29(C), pages 151-167.
    15. Godwin Okafor, 2017. "The impact of political instability on the economic growth of ECOWAS member countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(2), pages 208-229, March.
    16. Williams, Kevin, 2019. "Do political institutions improve the diminishing effect of financial deepening on growth? Evidence from developing countries," Journal of Economics and Business, Elsevier, vol. 103(C), pages 13-24.
    17. Swati Dhingra & Gianmarco Ottaviano & Thomas Sampson & John Van Reenen, 2016. "The impact of Brexit on foreign investment in the UK," CEP Brexit Analysis Papers 03, Centre for Economic Performance, LSE.
    18. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    19. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Arslanturk, Yalcin, 2010. "Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window," Energy Economics, Elsevier, vol. 32(6), pages 1398-1410, November.
    20. Wei Su, Chi & Wang, Xiao-Qing & Tao, Ran & Oana-Ramona, Lobonţ, 2019. "Do oil prices drive agricultural commodity prices? Further evidence in a global bio-energy context," Energy, Elsevier, vol. 172(C), pages 691-701.
    21. Ghazi Shukur & Panagiotis Mantalos, 2000. "A simple investigation of the Granger-causality test in integrated-cointegrated VAR systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(8), pages 1021-1031.
    22. Luiz Carlos Bresser-Pereira, 2012. "Five models of capitalism," Brazilian Journal of Political Economy, Center of Political Economy, vol. 32(1), pages 21-32.
    23. Alesina, Alberto & Özler, Sule & Roubini, Nouriel & Swagel, Phillip, 1996. "Political Instability and Economic Growth," Journal of Economic Growth, Springer, vol. 1(2), pages 189-211, June.
    24. Achim Zeileis & Friedrich Leisch & Christian Kleiber & Kurt Hornik, 2005. "Monitoring structural change in dynamic econometric models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 99-121, January.
    25. Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-193, January.
    26. Kariofyllas, Spyridon & Philippas, Dionisis & Siriopoulos, Costas, 2017. "Cognitive biases in investors' behaviour under stress: Evidence from the London Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 54-62.
    27. Mehmet Balcilar & Zeynel Ozdemir, 2013. "The export-output growth nexus in Japan: a bootstrap rolling window approach," Empirical Economics, Springer, vol. 44(2), pages 639-660, April.
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    More about this item

    Keywords

    Brexit; Political stability; Economic growth; Rolling Window Causality;
    All these keywords.

    JEL classification:

    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination

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