Open Access
Issue
SHS Web of Conf.
Volume 92, 2021
The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020
Article Number 07023
Number of page(s) 10
Section Regions and Economic Resilience
DOI https://doi.org/10.1051/shsconf/20219207023
Published online 13 January 2021
  1. Aliyev, K., Gasimov, I. (2018). Fiscal policy in Azerbaijan before, during and after the oil boom. Contemporary Economics, 12(1), 81-94. [Google Scholar]
  2. Aliyev, K., Nadirov, O. (2016). How fiscal policy affects non-oil economic performance in Azerbaijan? Academic Journal of Economic Studies, 2(3), 11-29. [CrossRef] [Google Scholar]
  3. Villafuerte, M., Lopez-Murphy, P. (2010). Fiscal Policy in Oil Producing Countries During the Recent Oil Price Cycle. IMF Working Paper, WP/10/28. [Google Scholar]
  4. Abbasov, J. (2018). Optimal Composition of State Budget Expenditures for Oil Rich Countries. In A. Fikret & B. Tamer (Eds.). Proceedings of the 6th Intern. Conf on Control and Optimiza-tion with Industrial Applica-tions (pp. 11-13). Baku: Azerbaijan. [Google Scholar]
  5. Sturm, M., Gurtner, F., Alegre, J.G. (2009). Fiscal policy challenges in oil-exporting countries – a review of key issues. ECB Occasional Paper, 104. [Google Scholar]
  6. Hasanov, F., Mammadov, F., Al-Musehel, N. (2018). The Effects of Fiscal Policy on Non-Oil Economic Growth. Economies, 6(27), Art. No. 27 [CrossRef] [Google Scholar]
  7. Granger C.W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Journal of the Econometric Society, 37(3), 424-438 [CrossRef] [Google Scholar]
  8. Dickey D.A., Fuller W. A. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74(366), 427-431 [Google Scholar]
  9. Dickey D. A., Fuller W.A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica, 49(4), 1057-1072 [CrossRef] [Google Scholar]
  10. Jarque C.M., Bera A.K. (1987). A Test for Normality of Observations and Regression Residuals. International Statistical Review, 55, 163-172. [CrossRef] [Google Scholar]
  11. Breusch T.S., Pagan A.R. (1979). A Simple Test for Heteroscedasticity and Random Coefficient Variation. Econometrica, 47(5), 1287-1294. [CrossRef] [Google Scholar]
  12. Page, E.S. (1954). Continuous Inspection Scheme. Biometrics, 41(1/2), 100-115. [CrossRef] [Google Scholar]
  13. Breusch, T.S. (1978). Testing for Autocorrelation in Dynamic Linear Models. Australian Economic Papers, 17, 334-355. [CrossRef] [Google Scholar]
  14. Godfrey, L.G. (1978). Testing Against General Autoregressive and Moving Average Error Models when the Regressors Include Lagged Dependent Variables. Econometrica, 46, 1293-1301. [CrossRef] [Google Scholar]
  15. Guluzada, E. (2020). Dynamics of state budget expenditures and economic growth: International experience and current conditions. In 55th International Scientific Conference on Economic and Social Development (pp. 530-538). Economic and Social Development: Book of Proceedings, Varazdin. [Google Scholar]
  16. Hasanli, Y. (2008). Introduction to Econometrics. Baki. [Google Scholar]
  17. Anderson D., Sweeney, D.J., Williams, T.A. (2008). Statistics for Business and Economics. [Google Scholar]
  18. The Statistics Committee of the Republic of Azerbaijan. (2020). Retrieved from: https://www.stat.gov.az/source/finance/ [Google Scholar]
  19. World Economic Outlook Database. (2018, April). Retrieved from: http://www.imf.org/external/ns/cs.aspx?id=28 [Google Scholar]

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