Open Access
Issue
SHS Web Conf.
Volume 71, 2019
Eurasia: Sustainable Development, Security, Cooperation – 2019
Article Number 02001
Number of page(s) 3
Section National Interests and National Development Strategies
DOI https://doi.org/10.1051/shsconf/20197102001
Published online 25 November 2019
  1. T. Cooley, Calibrated models, Oxford Review of Economic Policy, 13(3), 55-69 (1997). [CrossRef] [Google Scholar]
  2. D.C. Colander, Testimony presented to U.S. House of Representatives Science and Technology Committee Hearing entitled “Building a Science of Economics for the Real World”, Serial No. 111-106, July 20 (2010). [Google Scholar]
  3. R.M. Edge, R.S. Gurkaynak, How useful are estimated DSGE model forecasts for Central Banks? Brookings Papers on Economic Activity, Economic Studies Program, the Brookings Institution, 41(2(Fall)), 209-259 (2010). [CrossRef] [Google Scholar]
  4. J. Fernandez-Villaverde, The econometrics of DSGE models, Journal of the Spanish Economic Association, 1(1), 3-49 (2010). [Google Scholar]
  5. J.J. Heim, An econometric model of the US economy (Palgrave-MacMillan, London, 2017). [CrossRef] [Google Scholar]
  6. R.C. Fair, Estimating how the macroeconomy works (Cambridge Press, Harvard University, 2004). [Google Scholar]
  7. N.G. Mankiw, The macroeconomist as scientist and engineer. Journal of Economic Perspectives, 20(4), 29-46 (2006). [CrossRef] [Google Scholar]
  8. R.M. Solow, Testimony presented to U.S. House of Representatives Science and Technology Committee Hearing entitled “Building a Science of Economics for the Real World”, Serial No. 111-106, July 20, 2010 (2010). [Google Scholar]
  9. S. Aivazian, A. Bereznyatskiy, B. Brodsky, Macroeconomic modeling of the Russian economy. Applied Econometrics, 47, 5-27 (2017). [in Rus.]. [Google Scholar]
  10. S. Aivazian, A. Bereznyatskiy, B. Brodsky, Modeling socio-economic dynamics of the Russian administrative branch. Bulletin of CEMI, 4 (2018). DOI: 10.33276/S0000186-7-1. [in Rus.]. [Google Scholar]
  11. B.E. Brodsky, S.A. Aivazian, A.N. Bereznyatskiy, Non-equilibrium structural models of the real sector of the Russian economy. Economics and Mathematical Methods, 55 (2),65-80 (2019). [in Rus.]. [CrossRef] [Google Scholar]
  12. S. Aivazian, M. Afanasiev, A. Kudrov, Clustering methodology of the Russian Federation regions with account of sectoral structure of GRP. Applied Econometrics, 41, 24-46 (2016). [in Rus.]. [Google Scholar]
  13. D.A. Dickey, W.A. Fuller, Distributions of the estimators for the autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366), 427-431 (1979). [Google Scholar]
  14. D.A. Dickey, Estimation and hypothesis testing for nonstationary time series. Retrospective Theses and Dissertations. 6267. Iowa State University (1976). URL: https://lib.dr.iastate.edu/rtd/6267. Accessed: 04.09.2019. [Google Scholar]
  15. R. Davidson, J.G. MacKinnon, Estimation and inference in econometrics (Oxford University Press, New York, N.Y., 1993). [Google Scholar]

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