Computing power now allows empirical researchers to use intensive computing estimation techniques with nonlinear panel-data models. Maximum Likelihood estimation is often cumbersome, if not analytically intractable, when dealing with such models. Even the simple calculation of the likelihood...

Advances in computing power allow the empirical researcher to use intensive computional techniques to solve and estimate nonlinear panel-data models, specifically those arising from nonlinear panel data such as Probit and Tobit models. In these cases, maximum-likelihood estimation can be...

We reconsider the macroeconomic effects of fiscal policy in the context of a new-keynesian dynamic stochastic general equilibrium model. We assume that a fraction of the agents are non Ricardian and estimate the model parameters using Bayesian techniques. Our results show that the estimates of...

Recent evidence by Bils and Klenow (2004) and Klenow and Kryvstov (2003) shows that the average price duration for US CPI-basket goods is in the order of one to two quarters, challenging the monetary business cycle research to try and explain how short price durations can nevertheless generate a...

There is considerable disagreement in the empirical macro literature as to the degree of returns to scale in U.S. output. While many studies find evidence of a small degree of increasing returns, standard errors are typically large. This issue is of importance for assessing the possibility of...