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Economic policy uncertainty in G7 countries: evidence of long-range dependence and cointegration

Author

Listed:
  • OlaOluwa S. Yaya

    (University of Ibadan & Centre for Econometric and Allied Research, University of Ibadan)

  • Nurudeen Abu

    (Umaru Musa Yar’adua University)

  • Tayo P. Ogundunmade

    (University of Ibadan & Centre for Econometric and Allied Research, University of Ibadan)

Abstract

The global financial crisis which emanated from the USA has led to the development of indices for economic policy uncertainty for some developed and developing nations. Also, the current Brexit debate in the UK is a major economic influencer. ‘News of news’ or ‘news of no News’ in the daily newspapers in the USA and UK causes global economic uncertainty which has an aftermath reaction on the global economy. This study considers economic uncertainties in G7 countries using economic policy uncertainty indices developed majorly from newspapers information. The long-range dependence technique in time series was first carried out, and the results reveal an evidence of time series persistence for each country’s index. This provided justification for the adoption of cointegration in a fractional integration set-up using the fractional cointegrating vector autoregressive model recently proposed. The long-run equilibrium results obtained showed that the USA and UK are dominant drivers of economic uncertainty among the G7 countries.

Suggested Citation

  • OlaOluwa S. Yaya & Nurudeen Abu & Tayo P. Ogundunmade, 2021. "Economic policy uncertainty in G7 countries: evidence of long-range dependence and cointegration," Economic Change and Restructuring, Springer, vol. 54(2), pages 541-556, May.
    • Handle: RePEc:kap:ecopln:v:54:y:2021:i:2:d:10.1007_s10644-020-09288-3
    DOI: 10.1007/s10644-020-09288-3
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    as
    1. N. Bloom, 2016. "Fluctuations in uncertainty," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    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. Giovanni Caggiano & Efrem Castelnuovo & Juan Manuel Figueres, 2020. "Economic Policy Uncertainty Spillovers in Booms and Busts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(1), pages 125-155, February.
    4. Fang, Libing & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin?," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 29-36.
    5. John Geweke & Susan Porter‐Hudak, 1983. "The Estimation And Application Of Long Memory Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 221-238, July.
    6. Balli, Faruk & Uddin, Gazi Salah & Mudassar, Hasan & Yoon, Seong-Min, 2017. "Cross-country determinants of economic policy uncertainty spillovers," Economics Letters, Elsevier, vol. 156(C), pages 179-183.
    7. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    8. Vasilios Plakandaras & Rangan Gupta & Mark E. Wohar, 2019. "Persistence of economic uncertainty: a comprehensive analysis," Applied Economics, Taylor & Francis Journals, vol. 51(41), pages 4477-4498, September.
    9. Ruzhao Gao & Bing Zhang, 2016. "How does economic policy uncertainty drive gold--stock correlations? Evidence from the UK," Applied Economics, Taylor & Francis Journals, vol. 48(33), pages 3081-3087, July.
    10. Johansen, Søren & Nielsen, Morten Ørregaard, 2016. "The Role Of Initial Values In Conditional Sum-Of-Squares Estimation Of Nonstationary Fractional Time Series Models," Econometric Theory, Cambridge University Press, vol. 32(5), pages 1095-1139, October.
    11. Christou, Christina & Cunado, Juncal & Gupta, Rangan & Hassapis, Christis, 2017. "Economic policy uncertainty and stock market returns in PacificRim countries: Evidence based on a Bayesian panel VAR model," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 92-102.
    12. Arouri, Mohamed & Estay, Christophe & Rault, Christophe & Roubaud, David, 2016. "Economic policy uncertainty and stock markets: Long-run evidence from the US," Finance Research Letters, Elsevier, vol. 18(C), pages 136-141.
    13. Johansen, Søren & Nielsen, Morten Ørregaard, 2010. "Likelihood inference for a nonstationary fractional autoregressive model," Journal of Econometrics, Elsevier, vol. 158(1), pages 51-66, September.
    14. Oguz Ersan & Sagi Akron & Ender Demir, 2019. "The effect of European and global uncertainty on stock returns of travel and leisure companies," Tourism Economics, , vol. 25(1), pages 51-66, February.
    15. Morten Ørregaard Nielsen & Michał Ksawery Popiel, 2018. "A Matlab program and user's guide for the fractionally cointegrated VAR model," Working Papers 1330, Queen's University, Department of Economics.
    16. Antonakakis, Nikolaos & Gabauer, David & Gupta, Rangan & Plakandaras, Vasilios, 2018. "Dynamic connectedness of uncertainty across developed economies: A time-varying approach," Economics Letters, Elsevier, vol. 166(C), pages 63-75.
    17. Lee, Dongin & Schmidt, Peter, 1996. "On the power of the KPSS test of stationarity against fractionally-integrated alternatives," Journal of Econometrics, Elsevier, vol. 73(1), pages 285-302, July.
    18. Rangan Gupta & Amine Lahiani & Chi-Chuan Lee & Chien-Chiang Lee, 2019. "Asymmetric dynamics of insurance premium: the impacts of output and economic policy uncertainty," Empirical Economics, Springer, vol. 57(6), pages 1959-1978, December.
    19. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    20. Giray Gozgor & Mehmet Huseyin Bilgin & Peter Rangazas, 2021. "Economic Uncertainty and Fertility," Journal of Human Capital, University of Chicago Press, vol. 15(3), pages 373-399.
    21. Robert Krol, 2014. "Economic Policy Uncertainty and Exchange Rate Volatility," International Finance, Wiley Blackwell, vol. 17(2), pages 241-256, June.
    22. Hooi Hooi Lean & Duc Khuong Nguyen, 2014. "Policy uncertainty and performance characteristics of sustainable investments across regions around the global financial crisis," Working Papers 2014-295, Department of Research, Ipag Business School.
    23. Mehmet Balcilar & Rangan Gupta & Charl Jooste, 2017. "Long memory, economic policy uncertainty and forecasting US inflation: a Bayesian VARFIMA approach," Applied Economics, Taylor & Francis Journals, vol. 49(11), pages 1047-1054, March.
    24. Li, Xiao-Ming & Peng, Lu, 2017. "US economic policy uncertainty and co-movements between Chinese and US stock markets," Economic Modelling, Elsevier, vol. 61(C), pages 27-39.
    25. Wang, Yizhong & Chen, Carl R. & Huang, Ying Sophie, 2014. "Economic policy uncertainty and corporate investment: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 227-243.
    26. Tsai, I-Chun, 2017. "The source of global stock market risk: A viewpoint of economic policy uncertainty," Economic Modelling, Elsevier, vol. 60(C), pages 122-131.
    27. Omokolade Akinsomi & Yener Coskun & Rangan Gupta & Chi Keung Marco Lau, 2016. "Impact of Volatility and Equity Market Uncertainty on Herd Behavior: Evidence from UK REITs," Working Papers 201688, University of Pretoria, Department of Economics.
    28. Antonakakis, Nikolaos & Gabauer, David, 2017. "Refined Measures of Dynamic Connectedness based on TVP-VAR," MPRA Paper 78282, University Library of Munich, Germany.
    29. Xiao-lin Li & Mehmet Balcilar & Rangan Gupta & Tsangyao Chang, 2016. "The Causal Relationship Between Economic Policy Uncertainty and Stock Returns in China and India: Evidence from a Bootstrap Rolling Window Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(3), pages 674-689, March.
    30. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Tran, Vuong Thao, 2018. "Can economic policy uncertainty predict stock returns? Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 134-150.
    31. Klößner, Stefan & Sekkel, Rodrigo, 2014. "International spillovers of policy uncertainty," Economics Letters, Elsevier, vol. 124(3), pages 508-512.
    32. Cheung, Yin-Wong & Lai, Kon S, 1993. "A Fractional Cointegration Analysis of Purchasing Power Parity," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 103-112, January.
    33. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    34. Arouri, Mohamed & Estay, Christophe & Rault, Christophe & Roubaud, David, 2016. "Economic policy uncertainty and stock markets: Long-run evidence from the US," Finance Research Letters, Elsevier, vol. 18(C), pages 136-141.
    35. Nikolaos Antonakakis & Rangan Gupta & Christophe André, 2015. "Dynamic Co-movements between Economic Policy Uncertainty and Housing Market Returns," Journal of Real Estate Portfolio Management, Taylor & Francis Journals, vol. 21(1), pages 53-60, January.
    36. Liu, Li & Zhang, Tao, 2015. "Economic policy uncertainty and stock market volatility," Finance Research Letters, Elsevier, vol. 15(C), pages 99-105.
    37. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    38. Hassler, Uwe & Wolters, Jurgen, 1994. "On the power of unit root tests against fractional alternatives," Economics Letters, Elsevier, vol. 45(1), pages 1-5, May.
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    Cited by:

    1. OlaOluwa S. Yaya & Hammed A. Olayinka & Ahamuefula E. Ogbonna & Mamdouh Abdulaziz Saleh Al-Faryan & Xuan Vinh Vo, 2024. "Dynamic connectedness of economic policy uncertainty in G7 countries and the influence of the USA and UK on non-G7 countries," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-27, April.
    2. Kishwar Ali & Hu Hongbing & Chee Yoong Liew & Du Jianguo, 2023. "Governance perspective and the effect of economic policy uncertainty on financial stability: evidence from developed and developing economies," Economic Change and Restructuring, Springer, vol. 56(3), pages 1971-2002, June.

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    More about this item

    Keywords

    G7 countries; Economy; Uncertainty index; Long-range dependence; FCVAR;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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