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Equilibrium Models of Macroeconomic Science: What to Look For in (DSGE) Models?

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  • Chatterjee, Sidharta

Abstract

Models in macroeconomic sciences are designed with the aim of understanding and then simulating the real world economic and monetary policy making. There has been a considerable debate over how to model the real world economic phenomena, and how correctly those models allow explanations of general equilibrium; that is, whether the models with their assumed parameters are able to expound on critical aspects of monetary policy making. Some models are structured to provide naïve explanations of the monetary policy process, while others are higher order complex models that attempt to elucidate the dynamicity of economic equilibrium. Dynamic Stochastic General Equilibrium (DSGE) model is one of such a complex model which has found the flavour of the time following its rapid adoption by Central Banks around the world. But strong contentions rebate the usefulness and question its effectiveness over other standard tools of macroeconomic and monetary policymaking process. Many scholars debate that DSGE models are far from perfect, to render it efficient in public policy making, although its adoption has been one such phenomenal. This paper aims to discuss in some detail about such debates relating to the contentious issues which arose on account of the failure of DSGE models to effectively detect the recent financial crisis the subprime of 2008. Hence, the present study revolves around a formal analysis of the epistemology of econometric modeling involving complex dynamic systems in real world policy making, and discusses whether if new models like DSGE could in fact help explain general equilibrium, or if they fail, then what to look for in their failure.

Suggested Citation

  • Chatterjee, Sidharta, 2014. "Equilibrium Models of Macroeconomic Science: What to Look For in (DSGE) Models?," MPRA Paper 53893, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:53893
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    1. Jordi Galí & Pau Rabanal, 2005. "Technology Shocks and Aggregate Fluctuations: How Well Does the Real Business Cycle Model Fit Postwar US Data?," NBER Chapters, in: NBER Macroeconomics Annual 2004, Volume 19, pages 225-318, National Bureau of Economic Research, Inc.
    2. N. G. Mankiw, 2009. "The Macroeconomist as Scientist and Engineer," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 5.
    3. Herbert Simon, 2000. "Bounded rationality in social science: Today and tomorrow," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 1(1), pages 25-39, March.
    4. Jordi Galí & Frank Smets & Rafael Wouters, 2012. "Unemployment in an Estimated New Keynesian Model," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 329-360.
    5. Thomas A. Lubik & Paolo Surico, 2010. "The Lucas critique and the stability of empirical models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 177-194.
    6. Christina D. Romer & David H. Romer, 1989. "Does Monetary Policy Matter? A New Test in the Spirit of Friedman and Schwartz," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 121-184, National Bureau of Economic Research, Inc.
    7. 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.
    8. Milton Friedman & Anna J. Schwartz, 1963. "A Monetary History of the United States, 1867–1960," NBER Books, National Bureau of Economic Research, Inc, number frie63-1, July.
    9. Hurtado, Samuel, 2014. "DSGE models and the Lucas critique," Economic Modelling, Elsevier, vol. 44(S1), pages 12-19.
    10. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2009. "New Keynesian Models: Not Yet Useful for Policy Analysis," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 242-266, January.
    11. Marc Nerlove, 1958. "Adaptive Expectations and Cobweb Phenomena," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 72(2), pages 227-240.
    12. Charles I. Plosser, 2012. "Macro models and monetary policy analysis," Speech 71, Federal Reserve Bank of Philadelphia.
    13. 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.
    14. Lucas, Robert E, Jr, 1975. "An Equilibrium Model of the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 83(6), pages 1113-1144, December.
    15. Simon, Herbert A, 1979. "Rational Decision Making in Business Organizations," American Economic Review, American Economic Association, vol. 69(4), pages 493-513, September.
    16. Stephen Morris & Hyun Song Shin, 2001. "Rethinking Multiple Equilibria in Macroeconomic Modeling," NBER Chapters, in: NBER Macroeconomics Annual 2000, Volume 15, pages 139-182, National Bureau of Economic Research, Inc.
    17. Mario GRAZIANO & Daniele SCHILIRÒ, 2011. "Rationality And Choices In Economics: Behavioral And Evolutionary Approaches," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(2), pages 182-195.
    18. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    19. Tovar, Camilo Ernesto, 2009. "DSGE Models and Central Banks," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-31.
    20. Rossi, Barbara & Gürkaynak, Refet & Kısacıkoğlu, Burçin, 2013. "Do DSGE Models Forecast More Accurately Out-of-Sample than VAR Models?," CEPR Discussion Papers 9576, C.E.P.R. Discussion Papers.
    21. Weber, Henning, 2012. "One for all: The ECB's inflation target," Kiel Policy Brief 54, Kiel Institute for the World Economy (IfW Kiel).
    22. Krugman, Paul, 2000. "How Complicated Does the Model Have to Be?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 16(4), pages 33-42, Winter.
    23. Chatterjee, Sidharta, 2011. "The Neuroeconomics of Learning and Information Processing; Applying Markov Decision Process," MPRA Paper 28883, University Library of Munich, Germany.
    24. repec:fip:fedpsp:y:2012:i:may25 is not listed on IDEAS
    25. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    26. Jon Faust, 2012. "DSGE Models: I Smell a Rat (and It Smells Good)," International Journal of Central Banking, International Journal of Central Banking, vol. 8(1), pages 53-64, March.
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    More about this item

    Keywords

    DSGE models; macroeconomic equilibrium; monetary policy;
    All these keywords.

    JEL classification:

    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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