This paper explores the implications of time varying volatility for optimal monetary policy and the measurement of welfare costs. We show how macroeconomic models with linear and quadratic state dependence in their variance structure can be used for the analysis of optimal policy within the...

A socially desirable number of royalties-paying users of state-owned broadcasting spectrum is derived within an optimal control framework that allows free entry and exit. The analysis takes into account the trade-off between the benefits from higher variety and royalties’ revenues and the...

In the classical discrete-time mean-variance context, a method for portfolio optimisation using conditioning information was introduced in 2001 by Ferson and Siegel ([1]). The fact that there are many possible signals that could be used as conditioning information, and a number of empirical...

We present a set of necessary and sufficient conditions for a class of optimal control problems with pure state constraints for which the objective function is linear in the state variable but the objective function is otherwise only restricted to be upper semicontinuous in the control variable.

This paper uses optimal control theory to derive a desirable trajectory of the number of royalties-paying users of state-owned spectrum for broadcasting. The spectrum royalties are set by the public planner to maximize the consumers’ utilities over an infinite planning horizon. The...

This paper explores optimal treatment of an SIS (Susceptible-Infected-Susceptible) disease that has two strains with di¤erent infectivities. When we assume that neither eradication nor full infection are possible, it is shown that there are two categories of equilibria. First, there are two...

This paper uses laboratory experiments to provide primary empirical evidence on dynamic pollution tax policies. In particular, we investigate a setting where a regulator with incomplete information uses a pollution tax mechanism with a simple, endogenous tax rate adjustment rule to...

Increasing renewable generation results in growing supply uncertainty. By now hydrostorages are the most efficient way of smoothing uncertain power supply. In liberalized and competitive markets the valuation of hydro storages investment projects needs to take the market information and...

Optimal control theory is employed to characterize the socially optimal trajectory of the royalty per channel and the number of royalty-paying users of state-owned spectrum for broadcasting. The spectrum royalty is set by an omniscient public planner to maximize the sum of the discounted...

Many environmental problems are due to damages caused by stock of pollutants which accumulate with time lag to their emission. In this paper, we focus on nitrates used in agriculture which can pollute groundwater years after their initial use. A dynamic optimal control problem with heterogeneous...