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Beyond the DSGE Straitjacket


M. Hashem Pesaran


University of Southern California; Cambridge University - Faculty of Economics; CESifo (Center for Economic Studies and Ifo Institute for Economic Research); Institute for the Study of Labor (IZA)

Ron Smith


Birkbeck College

May 17, 2011

CESifo Working Paper Series No. 3447

Abstract:     
Academic macroeconomics and the research department of central banks have come to be dominated by Dynamic, Stochastic, General Equilibrium (DSGE) models based on micro-foundations of optimising representative agents with rational expectations. We argue that the dominance of this particular sort of DSGE and the resistance of some in the profession to alternatives has become a straitjacket that restricts empirical and theoretical experimentation and inhibits innovation and that the profession should embrace a more flexible approach to macroeconometric modelling. We describe one possible approach.

Number of Pages in PDF File: 16

Keywords: macroeconometric models, DSGE, VARs, long run theory

JEL Classification: C100, E100

working papers series


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Date posted: May 17, 2011  

Suggested Citation

Pesaran, M. Hashem and Smith, Ron P., Beyond the DSGE Straitjacket (May 17, 2011). CESifo Working Paper Series No. 3447. Available at SSRN: http://ssrn.com/abstract=1844075

Contact Information

M. Hashem Pesaran (Contact Author)
University of Southern California ( email )
Department of Economics
3620 South Vermont Ave
Los Angeles, CA 90089-0253
United States
213 740 3510 (Phone)
Cambridge University - Faculty of Economics ( email )
Sidgwick Avenue
Cambridge CB3 9DE
United Kingdom
+44 1223 338403 (Phone)
+44 1223 335471 (Fax)
HOME PAGE: http://www.econ.cam.ac.uk/faculty/pesaran/
CESifo (Center for Economic Studies and Ifo Institute for Economic Research)
Poschinger Str. 5
Munich, DE-81679
Germany
Institute for the Study of Labor (IZA)
P.O. Box 7240
Bonn, D-53072
Germany
Ron P. Smith
Birkbeck College ( email )
Malet Street
London WC1E 7HX
United Kingdom
+44 207 631 6413 (Phone)
+44 207 631 6416 (Fax)
Feedback to SSRN (Beta)


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