Asymmetric impacts of oil price shocks on government expenditures: Evidence from Saudi Arabia

References

• Abdel-Latif, H., & El-Gamal, M. (2018). Antecedents of war: The geopolitics of low oil prices and decelerating financial liquidity. Applied Economics Letters, 1–5. doi:10.1080/13504851.2018.1494802
   Web of Science ®Google Scholar
• Akanbi, O. A., & Sbia, R. (2017). Investigating the twin-deficit phenomenon among oil-exporting countries: Does oil really matter?. Empirical Economics, 1–20.
   Web of Science ®Google Scholar
• Al-Hakami, A. O. (2002). Analyzing the causal relationship between government expenditure and revenues in Saudi Arabia, employing co-integration and granger causality models. Public Adminstration, 42, 475–493.
   Google Scholar
• Al-Nakib, O. (2015). Saudi Arabia: Economy resilient but growth slowing amid the oil price slump. Macroeocnoic Outlook. Economic Update series, NKB Saudi Arabia.
   Google Scholar
• Alsamara, M., Mrabet, Z., Dombrecht, M., & Barkat, K. (2017). Asymmetric responses of money demand to oil price shocks in Saudi Arabia: A non-linear ardl approach. Applied Economics, 49(37), 3758–3769. doi:10.1080/00036846.2016.1267849
   Web of Science ®Google Scholar
• Atil, A., Lahiani, A., & Nguyen, D. K. (2014). Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices. Energy Policy, 65, 567–573. doi:10.1016/j.enpol.2013.09.064
   Web of Science ®Google Scholar
• Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: Journal of the Econometric Society, 49, 1057–1072. doi:10.2307/1912517
   Web of Science ®Google Scholar
• Dizaji, S. F. (2014). The effects of oil shocks on government expenditures and government revenues nexus (with an application to iran’s sanctions). Economic Modelling, 40, 299–313. doi:10.1016/j.econmod.2014.04.012
   Web of Science ®Google Scholar
• El Anshasy, A. A., & Bradley, M. D. (2012). Oil prices and the fiscal policy response in oil-exporting countries. Journal of Policy Modeling, 34(5), 605–620. doi:10.1016/j.jpolmod.2011.08.021
   Web of Science ®Google Scholar
• Garkaz, M., Azma, F., & Jafari, R. (2012). Relationship between oil revenues and government expenditure using wavelet analysis method: Evidence from iran. Economics and Finance Review, 2(5), 52–61.
   Google Scholar
• Greenwood-Nimmo, M., & Shin, Y. (2013). Taxation and the asymmetric adjustment of selected retail energy prices in the UK. Economics Letters, 121(3), 411–416. doi:10.1016/j.econlet.2013.09.020
   Web of Science ®Google Scholar
• Hamdi, H., & Sbia, R. (2013). Dynamic relationships between oil revenues, government spending and economic growth in an oil-dependent economy. Economic Modelling, 35, 118–125. doi:10.1016/j.econmod.2013.06.043
   Web of Science ®Google Scholar
• Hemrit, W., & Benlagha, N. (2018). The impact of government spending on nonoilgdp in Saudi Arabia (multiplier analysis). International Journal of Economics and Business Research, 15(3), 350–372. doi:10.1504/IJEBR.2018.091050
   Google Scholar
• Kireyev, A. (1998). Key issues concerning non-oil sector: Saudi Arabia recent economic development issue (vol. 48, pp. 29–33). Washington, D.C.: International Monetary Fund.
   Google Scholar
• Medina, L. (2016). The effects of commodity price shocks on fiscal aggregates in Latin America. IMF Economic Review, 64(3), 502–525. doi:10.1057/imfer.2016.14
   Web of Science ®Google Scholar
• Mohaddes, K., & Raissi, M. (2017). Do sovereign wealth funds dampen the negative effects of commodity price volatility? Journal of Commodity Markets, 8, 18–27. doi:10.1016/j.jcomm.2017.08.004
   Web of Science ®Google Scholar
• Mseddi, S., & Benlagha, N. (2017). Linkage between energy consumption and economic growth: Evidence from Saudi Arabia. The Empirical Economics Letters, 16(10), 1993–1101.
   Google Scholar
• Pesaran, M. H., & Shin, Y. (1998). An autoregressive distributed-lag modelling approach to cointegration analysis. Econometric Society Monographs, 31, 371–413.
   Google Scholar
• Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. doi:10.1002/(ISSN)1099-1255
   Web of Science ®Google Scholar
• Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ardl framework. In Festschrift in Honor of Peter Schmidt (pp. 281–314). New York, NY: Springer.
   Google Scholar