Japan’s more than a decade long “Great Recession†has presented a disconcerting case of what could happen if interest rates are bounded by zero and deflation sets in. Since Krugman (1998), the commonplace observation is that the deflationary situation combined with the zero...

Japan’s more than a decade long “Great Recession†has presented a disconcerting case of what could happen if interest rates are bounded by zero and deflation sets in. Since Krugman (1998), the commonplace observation is that the deflationary situation combined with the zero...

A flexible decomposition of a time series into stochastic cycles under possible non-stationarity is specified, providing both a useful data analysis tool and a very wide model class. A Bayes procedure using Markov Chain Monte Carlo (MCMC) is introduced with a model averaging approach which...

A flexible decomposition of a time series into stochastic cycles under possible non-stationarity is specified, providing both a useful data analysis tool and a very wide model class. A Bayes procedure using Markov Chain Monte Carlo (MCMC) is introduced with a model averaging approach which...

How do firms differ, and why do they di.er even within narrowly defined industries? Using evidence from six high-tech, manufacturing industries covering a 24-year period, we show that di.erences in sales, materials, labor costs and capital across firms can largely be summarized by a single,...

We study alternative models for capturing abrupt structural changes (level shifts) in a times series. The problem is confounded by the presence of transient outliers. We compare the performance of non-Gaussian time-varying parameter models and multiprocess mixture models within a Monte Carlo...

Particle Filters are now regularly used to obtain the filter distributions associated with state space financial time series. The method most commonly used nowadays is the auxiliary particle filter method in conjunction with a first order Taylor expansion of the log-likelihood. We argue in this...

This paper demonstrates the application of Bayesian simulation-based estimation to a class of interest rate models known as Affine Term Structure (ATS) models. The technique used is based on a Markov Chain Monte Carlo algorithm, with the discrete observations on yields augmented by additional...