Monetary and non-monetary determinants of inflation volatility

  • Sviatlana Y. Bokava Belarusian State University, Niezaliežnasci Avenue, 4, 220030, Minsk, Belarus
  • Juliet G. Abakumova Belarusian State University, Niezaliežnasci Avenue, 4, 220030, Minsk, Belarus

Abstract

The dynamics of inflation of the Republic of Belarus for 2003–2017 years, on the basis of statistical analysis has been constructed an econometric model of inflation on monthly data from January 2012 to December 2016. To account for the conditional heteroscedasticity and autocorrelation of the generalized model used autoregressive conditional heteroskedasticity (GARCH-model) for the study of inflation based on the statistics of the National Bank of Republic of Belarus.

Author Biographies

Sviatlana Y. Bokava, Belarusian State University, Niezaliežnasci Avenue, 4, 220030, Minsk, Belarus

senior lecturer at the department of analytical economics and econometrics, faculty of economics

Juliet G. Abakumova, Belarusian State University, Niezaliežnasci Avenue, 4, 220030, Minsk, Belarus

senior lecturer at the department of analytical economics and econometrics, faculty of economics

References

  1. Abakumova J., Bokova S. [The analysis and short-term forecasting of inflation processes in the Belarusian economy]. Strategicheskie napravleniya sotsial’no-ekonomicheskogo i finansovogo obespecheniya razvitiya natsional’noi ekonomiki [Strategic directions for socioeconomic and financial support of the national economy]: mater. of the I Int. sci. and pract. conf. (Minsk, 29 –30 Sept., 2016). Minsk, 2016. P. 207–208 (in Russ.).
  2. Cecchetti S. G., Chu R. S., Steindel C. The Unreliability of Inflation Indicators. Curr. Issues in Econ. Finance. 2000. Vol. 6, No. 4. P. 24 –27. URL: http://www.newyorkfed.org/ research/current_issues/ci6-4.pdf (date of access 05.01.2017).
  3. Vasiankova A., Bokava S. On some features of inflation rate estimates. Ekonomika i upravlenie. 2016. No. 4. P. 24 –27 (in Russ.).
  4. Muha A., Ezepov D. [Analysis and quantification of the degree of influence of factors on inflation in the Republic of Belarus]. Issledovaniya Natsional’nogo banka Respubliki Belarus’ [Researches of the National Bank of the Republic of Belarus]. 2005. No. 2.
  5. Bulletin of Banking Statistics. Minsk, 2004 –2016. URL: http://www.nbrb.by/statistics/bulletin/ (date of access 20.01.2017).
  6. Engle R. F. Autoregressive conditional heteroskedasticity with estimates of the variance of U. K. inflation. Econometrica. 1982. No. 4. P. 987–1007. DOI: 10.2307/1912773.
  7. Bollerslev T. Generalized autoregressive conditional heteroskedasticity. 1986. No. 31, issue 3. P. 307–327. DOI: 10.1016/03044076(86)90063-1.
Published
2018-10-26
Keywords: ARCH-model, GARCH-model, indicator of inflation, basic rate of inflation, augmented Dickey – Fuller test
How to Cite
Bokava, S. Y., & Abakumova, J. G. (2018). Monetary and non-monetary determinants of inflation volatility. Journal of the Belarusian State University. Economics, 1, 51-58. Retrieved from https://journals.bsu.by/index.php/economy/article/view/2181
Issue
No 1 (2017): Journal of the Belarusian State University. Economics
Section
E. Macroeconomics and Monetary Economics

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