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Econometric estimation of a structural macroeconomic model for the Russian economy

  • Polbin, Andrey

    ()

    (Russian Presidential academy of national economy and public administration, Moscow, Russia)

One of the main trends of modern macroeconomic analysis is the development of dynamic stochastic general equilibrium models with a wide range of nominal and real rigidities and estimation of these models with the Bayesian technique. The article studies the application of this approach for the evaluating business cycles of the Russian economy. In this paper we estimate a model for the Russian economy and analyze contribution of structural shocks to the business cycle.

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Article provided by Publishing House "SINERGIA PRESS" in its journal Applied Econometrics.

Volume (Year): 33 (2014)
Issue (Month): 1 ()
Pages: 3-29

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Handle: RePEc:ris:apltrx:0227
Contact details of provider: Web page: http://appliedeconometrics.cemi.rssi.ru/

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  1. Adjemian, Stéphane & Bastani, Houtan & Karamé, Fréderic & Juillard, Michel & Maih, Junior & Mihoubi, Ferhat & Perendia, George & Pfeifer, Johannes & Ratto, Marco & Villemot, Sébastien, 2011. "Dynare: Reference Manual Version 4," Dynare Working Papers 1, CEPREMAP, revised Jul 2014.
  2. Adolfson, Malin & Laseen, Stefan & Linde, Jesper & Villani, Mattias, 2007. "Bayesian estimation of an open economy DSGE model with incomplete pass-through," Journal of International Economics, Elsevier, vol. 72(2), pages 481-511, July.
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  7. Frank Smets & Raf Wouters, 2002. "An estimated dynamic stochastic general equilibrium model of the euro area," Working Paper Research 35, National Bank of Belgium.
  8. Rabanal, Pau & Rubio-Ramirez, Juan F., 2005. "Comparing New Keynesian models of the business cycle: A Bayesian approach," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1151-1166, September.
  9. Smets, Frank & Wouters, Rafael, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," CEPR Discussion Papers 6112, C.E.P.R. Discussion Papers.
  10. Ireland, Peter N., 2004. "A method for taking models to the data," Journal of Economic Dynamics and Control, Elsevier, vol. 28(6), pages 1205-1226, March.
  11. Kirill Sosunov & Oleg Zamulin, 2006. "Can Oil Prices Explain the Real Appreciation of the Russian Ruble in 1998-2005?," Working Papers w0083, Center for Economic and Financial Research (CEFIR).
  12. Kirill Sosunov & Oleg Zamulin, 2006. "The Inflationary Consequences of Real Exchange Rate Targeting via Accumulation of Reserves," Working Papers w0082, Center for Economic and Financial Research (CEFIR).
  13. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper 0107, Federal Reserve Bank of Cleveland.
  14. Sims, Christopher A, 2002. "Solving Linear Rational Expectations Models," Computational Economics, Society for Computational Economics, vol. 20(1-2), pages 1-20, October.
  15. Aguiar, Mark & Gopinath, Gita, 2007. "Emerging Market Business Cycles: The Cycle is the Trend," Scholarly Articles 11988098, Harvard University Department of Economics.
  16. Andrew Levin & Christopher J. Erceg & Dale W. Henderson, 1999. "Optimal Monetary Policy with Staggered Wage and Price Contracts," Computing in Economics and Finance 1999 1151, Society for Computational Economics.
  17. Katsuya Ito, 2009. "The Russian Economy and the Oil Price: A Co-integrated VAR Approach," Transition Studies Review, Springer, vol. 16(1), pages 220-227, May.
  18. Mendoza, Enrique G, 1995. "The Terms of Trade, the Real Exchange Rate, and Economic Fluctuations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(1), pages 101-37, February.
  19. Mark Aguiar & Gita Gopinath, 2004. "Emerging Market Business Cycles: The Cycle is the Trend," NBER Working Papers 10734, National Bureau of Economic Research, Inc.
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