This paper revisits the accuracy of inflation forecasting using activity and expectations variables. We apply Bayesian model averaging across different regression specifications selected from a set of potential predictors that includes lagged values of inflation, a host of real activity data,...

This paper makes three contributions to the literature on group-based trajectory models. First, although a small literature exists applying Bayesian methods to single trajectory models, their expositions are targeted toward biostatisticians. We bridge this gap by developing a model for normally...

We propose a moving average stochastic volatility in mean model and a moving average stochastic volatility model with leverage. For parameter estimation, we develop efficient Markov chain Monte Carlo algorithms and illustrate our methods, using simulated data and a real data set. We compare the...

In 1992 the Federal Reserve Bank of Boston conducted an analysis that examined the effects of race on mortgage lending in the Boston Metropolitan Statistical Area. Collecting data on all the possibly relevant information used in the lending process, they find when controlling for a subset of...

This paper makes the following original contributions to the literature. (1) We develop a simpler analytical characterization and numerical algorithm for Bayesian inference in structural vector autoregressions that can be used for models that are overidentified, just-identified, or...

We compare methods to measure comovement in business cycle data using multi-level dynamic factor models. To do so, we employ a Monte Carlo procedure to evaluate model performance for different specifications of factor models across three different estimation procedures. We consider three general...

Labor and product market regulations affect the unemployment rate of a country without doubt. Econometricians, however, have yet to establish an unequivocal significance of this impact. Model mis-specification, one of the main underlying problems, is overcome by adopting a Bayesian Model...