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2015 | 7 | nr 1 | 15--41
Tytuł artykułu

Modeling Macro-Fiscal Interlinkages: Case of Georgia

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The global financial and European debt crises exposed the need for a new approach to fiscal modeling to support decision making analytically. With this purpose, in the following paper we present a macro-fiscal model. By capturing macro-fiscal interlinkages, especially those between fiscal variables and exchange rates, the model enables to analyze various fiscal scenarios with the focus of its impact on debt sustainability and real sector, as well as to conduct forecasting exercises, for small open economies with potentially large share of foreign currency denominated debt in the overall public debt. Finally, the model is applied to Georgian economy to interpret its' historical data, provide an optimal policy path for future and analyze debt sustainability under several stress scenarios. (original abstract)
Rocznik
Tom
7
Numer
Strony
15--41
Opis fizyczny
Twórcy
  • National Bank of Georgia
  • National Bank of Georgia
Bibliografia
  • [1] Alesina A., Campante F. R. and Tabellini G. (2008). Why is fiscal policy often procyclical? Journal of the European economic association 6(5), 1006-1036.
  • [2] An S. and Schorfheide F. (2007). Bayesian analysis of DSGE models. Econometric reviews 26 (2-4), 113-172.
  • [3] Baxter M. and King R. G. (1993). Fiscal policy in general equilibrium. The American Economic Review, 315-334.
  • [4] Blanchard O., Dell' Ariccia G. and Mauro P. (2010). Rethinking macroeconomic policy. Journal of Money, Credit and Banking, 42(s1), 199-215.
  • [5] Cayen J. P., Gosselin M. A. and Kozicki S. (2009). Estimating DSGE-model-consistent trends for use in forecasting. Bank of Canada Working Paper No. 2009, 35.
  • [6] Coenen G. and Straub R. (2004). Non-Ricardian households and fiscal policy in an estimated DSGE model of the euro area. Manuscript, European Central Bank, 2.
  • [7] Fernández-Villaverde J. and Rubio-Ramírez J. F. (2004). Estimating nonlinear dynamic equilibrium economies: a likelihood approach. PIER Working Paper No. 04-001.
  • [8] Fernández-Villaverde J. and Rubio-Ramírez J. F. (2005). Estimating dynamic equilibrium economies: linear versus nonlinear likelihood. Journal of Applied Econometrics, 20(7), 891-910.
  • [9] Galí J. (2009). Monetary Policy, inflation, and the Business Cycle: An introduction to the new Keynesian Framework. Princeton University Press.
  • [10] Galí J., López-Salido J. D. and Vallés J. (2007). Understanding the effects of government spending on consumption. Journal of the European Economic Association, 5(1), 227-270.
  • [11] Galí J. and Monacelli T. (2005). Monetary policy and exchange rate volatility in a small open economy. The Review of Economic Studies, 72(3), 707-734.
  • [12] Garcia M. and Rigobon R. (2004). A risk management approach to emerging market's sovereign debt sustainability with an application to Brazilian data. National Bureau of Economic Research (No. w10336).
  • [13] Guerrón-Quintana P. A. and Nason J. M. (2012). Bayesian estimation of DSGE models. Federal Reserve Bank of Philadelphia.
  • [14] Hubbard R. G. (1997). Capital-market imperfections and investment. National Bureau of Economic Research (No. w5996).
  • [15] Konopczyński M. (2014). How Budget Deficit Impairs Long-Term Growth and Welfare under Perfect Capital Mobility. Central European Journal of Economic Modelling and Econometrics, 6(3), 129-152.
  • [16] Ilzetzki E., Mendoza E. G. and Végh C. A. (2013). How big (small?) are fiscal multipliers? Journal of Monetary Economics, 60(2), 239-254.
  • [17] Ilzetzki E. and Végh C. A. (2008). Procyclical fiscal policy in developing countries: Truth or fiction?. National Bureau of Economic Research (No. w14191).
  • [18] International Monetary Fund (April 2014). World Economic Outlook (WEO). Available at: http://www.imf.org/external/pubs/ft/weo/2014/01/pdf/text.pdf
  • [19] Kamenik O., Tuma Z., Vavra D. and Smidova Z. (2013). A Simple Fiscal Stress Testing Model: Case Studies of Austrian, Czech and German Economies, OECD Economics Department Working Papers, No. 1074, OECD Publishing.
  • [20] Smets F., Wouters R. (2003). An estimated dynamic stochastic general equilibrium model of the euro area. Journal of the European economic association, 1(5), 1123-1175.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.ekon-element-000171356089

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