Parameter uncertainty and the interaction between the uncertain parameters are important aspects of economic policy. In this work, I develop an analytical one-state variable, one-control variable model with two uncertain parameters (the control parameter and the intercept) and a nonzero...

In this paper an analytical framework using robust control was developed for the one-state, one-control variable model to examine the response of the control to changes in the quot;freequot; parameter. It was found that the response is characterized by a hyperbolic shape

We extend the Svensson (1997a) inflation forecast targeting framework with a convex Phillips curve. We derive an asymmetric target rule, that implies a higher level of nominal interest rates than the Svensson (1997a) forward looking version of the reaction function popularised by Taylor (1993)....

We compare the effects of taxes and quotas for an environmental problem in which the regulator and polluter have asymmetric information about abatement costs, and the environmental damage depends on the stock of pollution. We thus extend to a dynamic framework previous studies in which...

Computing the solution to a stochastic optimal control problem is difficult. A method of approximating a solution to a given stochatic optimal problem was developed in [1]. This paper describes a suite of Matlab functions implementing this method of approximating a solution to a given continuous...

Strategies for constructing a Markov decision chain approximating a continuous-time finite-horizon optimal control problem are investigated. Some simple, analytically soluble, examples are treated and low computational complexity is reported. Extensions to the method and implementation are...