This paper presents a fairly general treatment of recursive infinite horizon forward looking optimizing systems on infinite dimensional spatial domains. It includes optimal control, an analysis of local stability of spatially flat optimal steady states and development of techniques to compute...

This paper deals with a model of economic growth, which we expand to include endogenous policy switching based on retrospective voting. It is shown that under certain conditions the solution has a special form that we call a cyclically balanced growth path. This type of solution is an analogue...

To some extent, economic models are based on empirically unproven and metaphysical concepts and assumptions, which increases their ideology content and the risk of catastrophic misprediction of (long-run) economic dynamics. We discuss the channels along which ideology can enter economic dynamics...

The paper examines a class of random dynamical systems related to the classical von Neumann and Gale models of economic dynamics. Such systems are defined in terms of multivalued operators in spaces of random vectors, possessing certain properties of convexity and homogeneity. We establish a...

We incorporate the spatial dimension into a standard expanding variety growth model based on R&D. The spatial interaction is introduced through spatial production spillovers, knowledge diffusion across space, and the capability for spatial heterogeneity. Forward-looking agents who operate in a...

This paper introduces heterogeneity of cross-technologies interactions into the double-differentiated R&D-based endogenous growth model. In this model new technologies appear continuously and older are outdated generating structural change. All technologies may interact with each other through...

This paper describes a method for solving a class of forward-looking Markov-switching Rational Expectations models under noisy measurement, by specifying the unobservable expectations component as a general-measurable function of the observable states of the system, to be determined optimally...

This paper investigates optimal policy in the presence of anticipated (or news) shocks. We determine the optimal unrestricted and restricted policy response in a general rational expectations model and show that, if shocks are news shocks, the optimal unrestricted control rule under commitment...

The purpose of this paper is to show how to solve linear dynamic rational expectations models with anticipated shocks by using the generalized Schur decomposition method. Furthermore, we determine the optimal unrestricted and restricted policy responses to anticipated shocks. We demonstrate our...