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Does oil price really matter for the wage arrears in Russia?

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  • Su, Chi-Wei
  • Qin, Meng
  • Tao, Ran
  • Umar, Muhammad

Abstract

This paper employs bootstrap full- and sub-sample rolling-window Granger causality tests to explore the time-varying interaction between oil price and wage arrears in Russia. The empirical results reveal that the decline in oil price leads wage arrears to increase, which indicates that there is an oil curse in Russia, as high wage arrears caused by low oil price may hinder the healthy development. Also, the rise in oil price causes wage arrears to decrease, and then the economic and social progress in Russia can be promoted. These results are supported by the Dutch-disease endogenous growth model, which highlights that oil price negatively affects wage arrears. In turn, there is a negative influence from wage arrears to oil price, which points out that the macroeconomic situation in Russia plays an important role in reflecting the changes of oil system. In the situation of international oil market uncertainty and the high dependence on the resources in Russia, investors can benefit from the above conclusions to diversify the investment risks. Also, it can provide implications for enterprises and governments to prevent potential wage arrears and improve the public confidence, as well as turn the resource curse into bonanza.

Suggested Citation

  • Su, Chi-Wei & Qin, Meng & Tao, Ran & Umar, Muhammad, 2020. "Does oil price really matter for the wage arrears in Russia?," Energy, Elsevier, vol. 208(C).
  • Handle: RePEc:eee:energy:v:208:y:2020:i:c:s0360544220314572
    DOI: 10.1016/j.energy.2020.118350
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    as
    1. Bouoiyour, Jamal & Selmi, Refk & Tiwari, Aviral Kumar & Shahbaz, Muhammad, 2015. "The nexus between oil price and Russia's real exchange rate: Better paths via unconditional vs conditional analysis," Energy Economics, Elsevier, vol. 51(C), pages 54-66.
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. Jeffrey D. Sachs & Andrew M. Warner, 1995. "Natural Resource Abundance and Economic Growth," NBER Working Papers 5398, National Bureau of Economic Research, Inc.
    4. Wang, Qingfeng & Sun, Xu, 2017. "Crude oil price: Demand, supply, economic activity, economic policy uncertainty and wars – From the perspective of structural equation modelling (SEM)," Energy, Elsevier, vol. 133(C), pages 483-490.
    5. Badeeb, Ramez Abubakr & Lean, Hooi Hooi & Smyth, Russell, 2016. "Oil curse and finance–growth nexus in Malaysia: The role of investment," Energy Economics, Elsevier, vol. 57(C), pages 154-165.
    6. John S. Earle & Klara Z. Sabirianova, 2002. "How Late to Pay? Understanding Wage Arrears in Russia," Journal of Labor Economics, University of Chicago Press, vol. 20(3), pages 661-707, July.
    7. Chuffart, Thomas & Hooper, Emma, 2019. "An investigation of oil prices impact on sovereign credit default swaps in Russia and Venezuela," Energy Economics, Elsevier, vol. 80(C), pages 904-916.
    8. 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.
    9. Mironov, Valeriy V. & Petronevich, Anna V., 2015. "Discovering the signs of Dutch disease in Russia," Resources Policy, Elsevier, vol. 46(P2), pages 97-112.
    10. Padma Desai, 2006. "Why Is Russian GDP Growth Slowing?," American Economic Review, American Economic Association, vol. 96(2), pages 342-347, May.
    11. Arin, K. Peren & Braunfels, Elias, 2018. "The resource curse revisited: A Bayesian model averaging approach," Energy Economics, Elsevier, vol. 70(C), pages 170-178.
    12. 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.
    13. Dreger, Christian & Kholodilin, Konstantin A. & Ulbricht, Dirk & Fidrmuc, Jarko, 2016. "Between the Hammer and the Anvil: The Impact of Economic Sanctions and Oil Prices on Russia’s Ruble," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 44(2), pages 295-308.
    14. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    15. Amine Lahiani & Ramzi Benkraiem & Anthony Miloudi & Muhammad Shahbaz, 2019. "New Evidence on the Relationship Between Crude Oil Consumption and Economic Growth in the US: A Quantile Causality and Cointegration Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 397-420, June.
    16. Su, Chi-Wei & Khan, Khalid & Tao, Ran & Nicoleta-Claudia, Moldovan, 2019. "Does geopolitical risk strengthen or depress oil prices and financial liquidity? Evidence from Saudi Arabia," Energy, Elsevier, vol. 187(C).
    17. Hassan Anjum, 2019. "Estimating volatility transmission between oil prices and the US Dollar exchange rate under structural breaks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(4), pages 750-763, October.
    18. Malova, Aleksandra & van der Ploeg, Frederick, 2017. "Consequences of lower oil prices and stranded assets for Russia's sustainable fiscal stance," Energy Policy, Elsevier, vol. 105(C), pages 27-40.
    19. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    20. Evgeny Kakanov & Hansjörg Blöchliger & Lilas Demmou, 2018. "Resource curse in oil exporting countries," OECD Economics Department Working Papers 1511, OECD Publishing.
    21. Raheem, Ibrahim D., 2017. "Asymmetry and break effects of oil price -macroeconomic fundamentals dynamics: The trade effect channel," The Journal of Economic Asymmetries, Elsevier, vol. 16(C), pages 12-25.
    22. Apergis, Nicholas & Payne, James E., 2014. "The oil curse, institutional quality, and growth in MENA countries: Evidence from time-varying cointegration," Energy Economics, Elsevier, vol. 46(C), pages 1-9.
    23. Damette, Olivier & Seghir, Majda, 2018. "Natural resource curse in oil exporting countries: A nonlinear approach," International Economics, Elsevier, vol. 156(C), pages 231-246.
    24. Hansen, Bruce E, 2002. "Tests for Parameter Instability in Regressions with I(1) Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 45-59, January.
    25. 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.
    26. Rühl, Christof & Appleby, Paul & Fennema, Julian & Naumov, Alexander & Schaffer, Mark, 2012. "Economic development and the demand for energy: A historical perspective on the next 20 years," Energy Policy, Elsevier, vol. 50(C), pages 109-116.
    27. Su, Chi-Wei & Li, Zheng-Zheng & Chang, Hsu-Ling & Lobonţ, Oana-Ramona, 2017. "When Will Occur the Crude Oil Bubbles?," Energy Policy, Elsevier, vol. 102(C), pages 1-6.
    28. repec:zbw:bofitp:2015_003 is not listed on IDEAS
    29. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Wen, Shaobo & Hao, Xiaoqing, 2017. "The multiscale impact of exchange rates on the oil-stock nexus: Evidence from China and Russia," Applied Energy, Elsevier, vol. 194(C), pages 667-678.
    30. Fatih Kaplan, 2015. "Oil Price, Exhange Rate and Economic Growth in Russia: A Multiple Structural Break Approach," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 5(4), pages 1-7.
    31. McLeod, Roger C.D. & Haughton, Andre Yone, 2018. "The value of the US dollar and its impact on oil prices: Evidence from a non-linear asymmetric cointegration approach," Energy Economics, Elsevier, vol. 70(C), pages 61-69.
    32. 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.
    33. 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.
    34. Zakharov, Nikita, 2020. "Asymmetric oil price shocks, tax revenues, and the resource curse," Economics Letters, Elsevier, vol. 186(C).
    35. Jia, Xiaoliang & An, Haizhong & Fang, Wei & Sun, Xiaoqi & Huang, Xuan, 2015. "How do correlations of crude oil prices co-move? A grey correlation-based wavelet perspective," Energy Economics, Elsevier, vol. 49(C), pages 588-598.
    36. 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.
    37. Al-mulali, Usama, 2011. "Oil consumption, CO2 emission and economic growth in MENA countries," Energy, Elsevier, vol. 36(10), pages 6165-6171.
    38. Nel, Willem P. & Cooper, Christopher J., 2008. "A critical review of IEA's oil demand forecast for China," Energy Policy, Elsevier, vol. 36(3), pages 1096-1106, March.
    39. 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

    Causality; Oil price; Russian wage arrears; Time-varying;
    All these keywords.

    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
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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