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SAMBA: Stochastic Analytical Model with a Bayesian Approach

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  • Castro, Marcos R. de
  • Gouvea, Solange N.
  • Minella, Andre
  • Santos, Rafael
  • Souza-Sobrinho, Nelson F.

Abstract

We develop and estimate a DSGE model for the Brazilian economy as part of the macroe-conomic modeling framework of the Central Bank of Brazil. The model combines the building blocks of standard DSGE models (e.g., price and wage rigidities and adjustment costs) with the following features that better describe the Brazilian economy: (i) a fiscal authority pursuing an explicit target for the primary surplus; (ii) administered or regulated prices as part of the consumer price index; (iii) external nance for imports,which amplies the eects of changes in external nancial conditions on the economy;and (iv) imported goods used in the production of intermediate goods. It also includes the presence of nancially constrained households. We estimate the model with Bayesian techniques, using data since 1999, when in ation targeting was implemented in Brazil.Evaluation based on impulse response functions, moment conditions, variance error decomposition, and initial forecasting exercises suggests that the model can be a useful toolfor policy analysis and forecasting.

Suggested Citation

  • Castro, Marcos R. de & Gouvea, Solange N. & Minella, Andre & Santos, Rafael & Souza-Sobrinho, Nelson F., 2015. "SAMBA: Stochastic Analytical Model with a Bayesian Approach," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 35(2), March.
  • Handle: RePEc:sbe:breart:v:35:y:2015:i:2:a:57573
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    1. Marcos Valli & Fabia A. de Carvalho, 2010. "Fiscal and Monetary Policy Interaction: a simulation based analysis of a two-country New Keynesian DSGE model with heterogeneous households," Working Papers Series 204, Central Bank of Brazil, Research Department.
    2. McCallum, Bennett T & Nelson, Edward, 2000. "Monetary Policy for an Open Economy: An Alternative Framework with Optimizing Agents and Sticky Prices," Oxford Review of Economic Policy, Oxford University Press, vol. 16(4), pages 74-91, Winter.
    3. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2008. "The new area-wide model of the euro area: a micro-founded open-economy model for forecasting and policy analysis," Working Paper Series 944, European Central Bank.
    4. Minella, Andre & de Freitas, Paulo Springer & Goldfajn, Ilan & Muinhos, Marcelo Kfoury, 2003. "Inflation targeting in Brazil: constructing credibility under exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 22(7), pages 1015-1040, December.
    5. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2006. "SIGMA: A New Open Economy Model for Policy Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 2(1), March.
    6. Jordi Galí & J. David López-Salido & Javier Vallés, 2007. "Understanding the Effects of Government Spending on Consumption," Journal of the European Economic Association, MIT Press, vol. 5(1), pages 227-270, March.
    7. Bayoumi, Tamim & Laxton, Douglas & Pesenti, Paolo, 2004. "Benefits and spillovers of greater competition in Europe: a macroeconomic assessment," Working Paper Series 341, European Central Bank.
    8. 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.
    9. Tito Nícias Teixeira da Silva Filho, 2007. "Is the Investment-Uncertainty Link Really Elusive? The Harmful Effects of Inflation Uncertainty in Brazil," Working Papers Series 157, Central Bank of Brazil, Research Department.
    10. Paul Fenton & Stephen Murchison, 2006. "ToTEM: The Bank of Canada's New Projection and Policy-Analysis Model," Bank of Canada Review, Bank of Canada, vol. 2006(Autumn), pages 5-18.
    11. Mojon, Benoît & Altissimo, Filippo & Zaffaroni, Paolo, 2007. "Fast micro and slow macro: can aggregation explain the persistence of inflation?," Working Paper Series 729, European Central Bank.
    12. Jordi Galí & J. David López-Salido & Javier Vallés, 2007. "Understanding the Effects of Government Spending on Consumption," Journal of the European Economic Association, MIT Press, vol. 5(1), pages 227-270, March.
    13. Del Negro, Marco & Schorfheide, Frank & Smets, Frank & Wouters, Rafael, 2007. "On the Fit of New Keynesian Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 123-143, April.
    14. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    15. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2008. "Evaluating an estimated new Keynesian small open economy model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(8), pages 2690-2721, August.
    16. Erceg, Christopher J. & Henderson, Dale W. & Levin, Andrew T., 2000. "Optimal monetary policy with staggered wage and price contracts," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 281-313, October.
    17. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    18. Günter Coenen & Christopher J. Erceg & Charles Freedman & Davide Furceri & Michael Kumhof & René Lalonde & Douglas Laxton & Jesper Lindé & Annabelle Mourougane & Dirk Muir & Susanna Mursula & Carlos d, 2012. "Effects of Fiscal Stimulus in Structural Models," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(1), pages 22-68, January.
    19. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    20. Minella, André & Souza-Sobrinho, Nelson F., 2013. "Monetary policy channels in Brazil through the lens of a semi-structural model," Economic Modelling, Elsevier, vol. 30(C), pages 405-419.
    21. Stephen Murchison & Andrew Rennison, 2006. "ToTEM: The Bank of Canada's New Quarterly Projection Model," Technical Reports 97, Bank of Canada.
    22. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
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