Continuous versus Discrete Time Modeling in Growth and Business Cycle Theory

Omar Licandro (), Luis Puch and Jesús Ruiz ()
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Omar Licandro: University of Nottingham, School of Economics
Jesús Ruiz: Universidad Complutense de Madrid, Department of Economics and ICAE

Chapter Chapter 12 in Continuous Time Modeling in the Behavioral and Related Sciences, 2018, pp 283-303 from Springer

Abstract: Abstract Economists model time as continuous or discrete. For long, either alternative has brought about relevant economic issues, from the implementation of the basic Solow and Ramsey models of growth and the business cycle toward the issue of equilibrium indeterminacy and endogenous cycles. In this paper, we introduce some of those relevant issues in economic dynamics. First, we describe a baseline continuous versus discrete time modeling setting relevant for questions in growth and business cycle theory. Then we turn to the issue of local indeterminacy in a canonical model of economic growth with a pollution externality whose size is related to the model period. Finally, we propose a growth model with delays to show that a discrete time representation implicitly imposes a particular form of time-to-build to the continuous time representation. Our approach suggests that the recent literature on continuous time models with delays should help to bridge the gap between continuous and discrete time representations in economic dynamics.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-77219-6_12

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DOI: 10.1007/978-3-319-77219-6_12

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