We combine the efficient method of moments with appropriate algorithms from the optimal filtering literature to study a collection of models for the U.S. short rate. Our models include two continuous-time stochastic volatility models and two regime switching models, which provided the best fit...

Economic growth has been a showcase of model uncertainty, given the many competing theories and candidate regressors that have been proposed to explain growth. Bayesian Model Averaging (BMA) addresses model uncertainty as part of the empirical strategy, but its implementation is subject to the...

In this paper, we identify two major changes in the dynamics of the federal funds rate in the 1990s. We model the desired rate in a two-regime setting, one when the Fed makes no change and the other when the Fed is moving the desired rate to a new level. We find that the 1990s saw longer...

This paper shows that the Zero-Information-Limit-Condition (ZILC) formulated by Nelson and Startz (2006) holds in the GARCH(1,1) model. As a result, the GARCH estimate tends to have too small a standard error relative to the true one when the ARCH parameter is small, even when sample size...

In this paper we use the insights of the stochastic general equilibrium growth model to help understand the effects of risk on the real, risk adjusted return to capital, capital flows, exchange rate policy, and economic growth in two Pacific Basin economies, Mexico and Indonesia, over the period...