Publisher's Synopsis
Excerpt from On Some Computational Aspects of Real Business Cycle Theory
It has been common practice in the recent Real Business Cycle (bbc) literature to approximate, quadratically, the return function about the steady state and then to use this approximate return function as the basis for generating the economy's equilibrium time series. This is done for well known reasons of analytic and computational simplicity with a quadratic return function the decision rules are linear and may be easily determined. To compute the optimal decision rules numerically via standard value iteration procedures is simply too intensive when the number of decision and state variables is large. Nevertheless, it is legitimate to question the extent to which accuracy is compromised using such approximate procedures.
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