Dynamic programming with continuous choice variables generally assumes compact search spaces. Collapsing disjoint n-dimensional bubbles within the space, creating and indexing new bubbles as needed, pushes back the "curse of dimensionality." An animal-breeding optimization is used as an example....

Solow and Hahn proposed an overlapping generations model in 1995 with which to criticize rational expectations. The agents have perfect foresight, but are subjected to an unanticipated shock in the population. The authors showed that the economy couldn't return to the steady state without...

The paper proposes a method that solves the non-monotonic power problem of a family of structural changes in mean tests based on an orthonormal series filtering of the error process before estimating variance of the test statistics. This method yields a consistent estimator for the variance...

We have developed an agent-based computational model, extension of an analytical model1 that studies the structure of coalitions of B-to-C web sites, when Internet buyers incur search costs for finding the good that matches their preferences, and coalitions of sites reduce this cost through...

Finance models of the term structure of interest rates have for a long time relied on unobserved factors as explanatory variables. In a seminal paper, Ang and Piazzesi (2003) have examined the potential role of macroeconomic variables in explaining the term structure. They, and subsequent...

This paper estimates a standard version of the New Keynesian Monetary Model (NKM) augmented with the term structure in order to analyze two types of issue. First we analyse the relative importance of policy inertia, persistent policy shocks and the term spread in the estimated US monetary policy...

This paper provides formulae for computing perturbation method approximations of unconditional variances of variables in nonlinear DSGE models. Spurious higher order terms that creep into multi-step ahead forecasts can produce explosive time paths frustrating traditional approaches to estimating...