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Econometrica Vol. 54 No. 6 1986

Analytical Policy Design under Rational Expectations

Charles H. Whiteman

Abstract

[The formulation of optimal policy in linear rational expectations models is studied using methods analogous to the classical design techniques utilized in linear systems engineering. Specifically, the policy-maker's present-value-like objective function is converted, using the convolution transform, to an equivalent frequency domain, "spectral utility" function. Then the residue calculus and Wiener-Hopf methods are used to maximize spectral utility through the choice of a complex function which represents a sequence of distributed lag coefficients to be applied to current and past values of instrument variables. The solution to this problem is a closed form expression for the decision rule of the dominant player in a particular type of linear-quadratic dynamic game.]

DOI
10.2307/1914305
Volume
54
Issue
6
Pages
1387
Sources
bibtex:phds-export.bib openalex crossref

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