Modelos Económicos con Múltiples Regímenes
In this paper we introduce the concept of economic regime. We review the basic notions and different definitions of economic regime and regime switching to describe how these notions appear implicitly or explicitly in different areas of the economic literature. Then we introduce a method to represent dynamics across regimes in multiple regime economic models. In these models the state space of the economy can be divided in regions, each of them representing a different regime of the economy. Then, we have a twofold dynamics: one within a given regime and one across regimes. To represent the dynamics across regimes, each regime is labeled with a symbol and so doing, the domain is a set of symbols representing the possible states of the economy. Then the evolution of the economy is represented by a coded dynamics. The latter is related with the more formal, mathematical branch called symbolic dynamics. Such proximity often permits the use of formal techniques that are well established in the mathematician's tool box to represent dynamics across regimes with directed graphs and matrices and to extract dynamical properties of the models.
Volume (Year): 1 (2007)
Issue (Month): 2 ()
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- Howitt, Peter & McAfee, R Preston, 1992.
American Economic Review,
American Economic Association, vol. 82(3), pages 493-507, June.
- Blad, Michael C. & Christopher Zeeman, E., 1982. "Oscillations between repressed inflation and Keynesian equilibria due to inertia in decision making," Journal of Economic Theory, Elsevier, vol. 28(1), pages 165-182, October.
- Goldfeld, Stephen M. & Quandt, Richard E., 1973. "A Markov model for switching regressions," Journal of Econometrics, Elsevier, vol. 1(1), pages 3-15, March.
- repec:att:wimass:9419 is not listed on IDEAS
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
- Juan Gabriel Brida, 2000. "Symbolic Time Series Analysis in Economics," Documentos de Trabajo (working papers) 1000, Department of Economics - dECON.
- Durlauf, Steven N & Johnson, Paul A, 1995.
"Multiple Regimes and Cross-Country Growth Behaviour,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 10(4), pages 365-84, Oct.-Dec..
- Durlauf, S.M. & Johnson, P.A., 1995. "Multiple Regimes and Cross-Country Growth Behavior," Working papers 9419r, Wisconsin Madison - Social Systems.
- Lucas, Robert E., 1977. "Understanding business cycles," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 5(1), pages 7-29, January.
- Galor, Oded & Zeira, Joseph, 1988.
"Income Distribution and Macroeconomics,"
51644, University Library of Munich, Germany, revised 01 Sep 1989.
- Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
- Lionello F. Punzo, 1995. "Some Complex Dynamics for a Multisectoral Model of the Economy," Revue Économique, Programme National Persée, vol. 46(6), pages 1541-1559.
- Steven N. Durlauf & Danny T. Quah, 1998.
"The New Empirics of Economic Growth,"
NBER Working Papers
6422, National Bureau of Economic Research, Inc.
- Steven N. Durlauf & Danny T. Quah, 1998. "The New Empirics of Economic Growth," Working Papers 98-01-012, Santa Fe Institute.
- Durlauf,S.N. & Quah,D.T., 1998. "The new empirics of economic growth," Working papers 3, Wisconsin Madison - Social Systems.
- S Durlauf & Danny Quah, 1998. "The New Empirics of Economic Growth," CEP Discussion Papers dp0384, Centre for Economic Performance, LSE.
- Neftici, Salih N., 1982. "Optimal prediction of cyclical downturns," Journal of Economic Dynamics and Control, Elsevier, vol. 4(1), pages 225-241, November.
- Blad, Michael C., 1981. "Exchange of stability in a disequilibrium model," Journal of Mathematical Economics, Elsevier, vol. 8(2), pages 121-145, July.
- Azariadis, Costas & Drazen, Allan, 1990. "Threshold Externalities in Economic Development," The Quarterly Journal of Economics, MIT Press, vol. 105(2), pages 501-26, May.
- Potter, Simon M, 1995.
"A Nonlinear Approach to US GNP,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 10(2), pages 109-25, April-Jun.
- Diamond, Peter A, 1982.
"Aggregate Demand Management in Search Equilibrium,"
Journal of Political Economy,
University of Chicago Press, vol. 90(5), pages 881-94, October.
- Cooper, Russell & John, Andrew, 1988. "Coordinating Coordination Failures in Keynesian Models," The Quarterly Journal of Economics, MIT Press, vol. 103(3), pages 441-63, August.
- Howitt, Peter, 1985. "Transaction Costs in the Theory of Unemployment," American Economic Review, American Economic Association, vol. 75(1), pages 88-100, March.
- Brida, Juan G. & Anyul, Martin Puchet & Punzo, Lionello F., 2003. "Coding economic dynamics to represent regime dynamics. A teach-yourself exercise," Structural Change and Economic Dynamics, Elsevier, vol. 14(2), pages 133-157, June.
- Ito, Takatoshi, 1980. "Disequilibrium growth theory," Journal of Economic Theory, Elsevier, vol. 23(3), pages 380-409, December.
- Punzo, L.F., 1996. "Industrial Dynamics and Structural Change: A Framework for the Analysis of Sectoral Dynamics in a Set of Countries," ISER Discussion Paper 0401, Institute of Social and Economic Research, Osaka University.
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