TY - JOUR
AU - Cai,Yongyang
AU - Judd,Kenneth L.
AU - Lontzek,Thomas S.
TI - Continuous-Time Methods for Integrated Assessment Models
JF - National Bureau of Economic Research Working Paper Series
VL - No. 18365
PY - 2012
Y2 - September 2012
UR - http://www.nber.org/papers/w18365
L1 - http://www.nber.org/papers/w18365.pdf
N1 - Author contact info:
Yongyang Cai
Hoover Institution
Stanford University
Stanford, CA 94305
E-Mail: yycai@stanford.edu
Kenneth L. Judd
Hoover Institution
Stanford University
Stanford, CA 94305-6010
Tel: 650/723-5866
Fax: 650/723-1687
E-Mail: JUDD@HOOVER.STANFORD.EDU
Thomas Lontzek
University of Zurich
Moussonstrasse 15, 8044 Zurich
E-Mail: Thomas.Lontzek@Business.uzh.ch
AB - Continuous time is a superior representation of both the economic and climate systems that Integrated Assessment Models (IAM) aim to study. Moreover, continuous-time representations are simple to express. Continuous-time models are usually solved by discretizing time, but the quality of a solution is significantly affected by the details of the discretization. The numerical analysis literature offers many reliable methods, and should be used because alternatives derived from “intuition” may be significantly inferior. We take the well-known DICE model as an example. DICE uses 10-year time steps. We first identify the underlying continuous-time model of DICE. Second, we present mathematical and computational methods for transforming continuous-time deterministic perfect foresight models into systems of finite difference equations. While some transformations create finite difference systems that look like a discrete-time dynamical system, the only proper way to view the finite difference system is as an approximation of the continuous-time problem. DICE is an example where the usage of finite difference methods from numerical analysis produces far superior approximations than do simple discrete-time systems.
ER -