The literature on the government spending multiplier has implicitly assumed that an increase in government spending has the same (mirror-image) effect as a decrease in government spending. We show that relaxing this assumption is important to understand the effects of fiscal policy. Regardless...

The literature on the government spending multiplier has implicitly assumed that an increase in government spending has the same (mirror-image) effect as a decrease in government spending. We show that relaxing this assumption is important to understand the effects of fiscal policy. Regardless...

In this paper we provide a unified methodology for conducting likelihood-based inference on the unknown parameters of a general class of discrete-time stochastic volatility (SV) models, characterized by both a leverage effect and jumps in returns. Given the nonlinear/non-Gaussian state-space...

This paper develops a systematic Markov Chain Monte Carlo (MCMC) framework based upon Efficient Importance Sampling (EIS) which can be used for the analysis of a wide range of econometric models involving integrals without an analytical solution. EIS is a simple, generic and yet accurate...

We propose a new methodology for designing flexible proposal densities for the joint posterior density of parameters and states in a nonlinear non-Gaussian state space model. We show that a highly efficient Bayesian procedure emerges when these proposal densities are used in an independent...