We consider a simple dynamic model of environmental taxation that exhibits time inconsistency. There are two categories of firms, Believers, who take the tax announcements made by the Regulator to face value, and Non-Believers, who perfectly anticipate the Regulator's decisions, albeit at a...

We consider a simple dynamic model of environmental taxation that exhibits time inconsistency. There are two categories of firms, Believers, who take the tax announcements made by the Regulator to face value, and Non-Believers, who perfectly anticipate the Regulator's decisions, albeit at a...

This paper explores the idea of using artificial adaptive agents in economic theory. In particular, we use Genetic Algorithms (GAs) to model the learning behavior of a population of adaptive and boundedly rational agents interacting in an economic system. We analyze the behavior of a GA in two...

We consider a simple dynamic model of environmental taxation that exhibits time inconsistency. There are two categories of firms, Believers, who take the tax announcements made by the Regulator to face value, and Non-Believers, who perfectly anticipate the Regulator's decisions, albeit at a...

How is the design of efficient climate policies affected by the potentials for induced technological change and for future learning about key parameter uncertainties? We address this question using a new integrated climate-economy model incorporating endogenous technological change to explore...

Using a closed economy model with a flexible-price good and a sticky-price good we study the conditions under which interest rate rules induce real determinacy and, more importantly, the MSV solution is learnable in the E-stability sense proposed by Evans and Honkapohja (2001). We show that...

Under the assumption of bounded rationality, economic agents learn from their past mistaken predictions by combining new and old information to form new beliefs. The purpose of this paper is to examine how the policy-maker, by affecting private agents' learning process, determines the speed at...

Recent empirical findings have emphasized post entry growth of survivors, as opposed to exit of inefficient and small firms, as the main source of growth over time in the average size of a cohort of entering firms. In this paper, as an explanation for the significant growth of survivors, we...

Cosimano (2003) uses the perturbation method to approximate optimal experimentation problems in the neighborhood of the augmented linear regulator problem as formulated by Hansen and Sargent (2004) and Anderson, Hansen, McGratten and Sargent (1966). Cosimano and Gapen (2005) develop a computer...