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Investment-Specific Technological Change and the Brazilian Macroeconomy

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  • Teles, Vladimir K.
  • Costa Junior, Celso Jose
  • Rosa, Rafael Mouallem

Abstract

This study discusses the importance of investment-specific technological change for the brazilian macroeconomy. We document evidence that a model that takes this specific type of technical progress into account is better suited to explain the Brazilian economy over the long term. We then present a DSGE [Dynamic Stochastic General Equilibrium] model with two sectors that incorporates technical progress in the investment goods sector and estimate the model for Brazil. The results demonstrate that productivity shocks in the investment goods sector are more volatile and persistent than in the final goods sector and that the output gap has a greater variance in the two-sector model. In addition, these results recommend a more rigorous monetary policy prescription to improve the economy’s well-being.

Suggested Citation

  • Teles, Vladimir K. & Costa Junior, Celso Jose & Rosa, Rafael Mouallem, 2015. "Investment-Specific Technological Change and the Brazilian Macroeconomy," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 35(2), March.
  • Handle: RePEc:sbe:breart:v:35:y:2015:i:2:a:57675
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    1. Lim, G.C. & McNelis, Paul D., 2008. "Computational Macroeconomics for the Open Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262123061, December.
    2. Susanto Basu & John G. Fernald, 2009. "What do we know (and not know) about potential output?," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 187-214.
    3. Carlstrom, Charles T. & Fuerst, Timothy S., 1995. "Interest rate rules vs. money growth rules a welfare comparison in a cash-in-advance economy," Journal of Monetary Economics, Elsevier, vol. 36(2), pages 247-267, November.
    4. 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.
    5. Whelan, Karl, 2003. "A Two-Sector Approach to Modeling U.S. NIPA Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(4), pages 627-656, August.
    6. Teles, Vladimir Kuhl & Cardoso, Eliana A., 2010. "A brief history of Brazil's growth," Textos para discussão 241, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    7. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-362, June.
    8. Marco A. F. H. Cavalcanti & Luciano Vereda, 2011. "Propriedades Dinâmicas de Um Modelo DSGE Com Parametrizações Alternativas Para o Brasil," Discussion Papers 1588, Instituto de Pesquisa Econômica Aplicada - IPEA.
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