Abstract

This paper develops a general framework to analyze the comparative dynamic properties of optimal growth paths with respect to any parameter in a continuous time model of uncertainty. A distinguishing feature of the analysis is that the entire dynamic time path of the capital accumulation process can be characterized rather than restricting attention to a comparison of steady states as in conventional analysis. Since any policy variable enters as a parameter in a growth model, the paradigm developed immediately yields the dynamic impact of any policy tool on the time paths of the optimal capital accumulation program. The powerful Itô's Lemma of stochastic calculus then determines the impact of the policy parameter on other variables on interest such as the wage rate and the return to capital. © 1998 Elsevier Science B.V.

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