This paper shows how to use the Kalman filter (Kalman 1960) to back out the shocks of a dynamic stochastic general equilibrium model. In particular, we use the smoothing algorithm as described in Hamilton (1994) to estimate the shocks of a sticky-prices and sticky-wages model using all the...

This paper examines the post-migration investments in schooling and job search of immigrant families using new longitudinal data for Australia. Higher education levels at time of arrival are associated with a greater probability of enrolling in school after migration. In households where the...

This paper examines the post-migration investments in schooling and job search of immigrant families using new longitudinal data for Australia. Higher education levels at time of arrival are associated with a greater probability of enrolling in school after migration. In households where the...

This paper examines the post-migration investments in schooling and job search of immigrant families using new longitudinal data for Australia. Higher education levels at time of arrival are associated with a greater probability of enrolling in school after migration. In households where the...

We present a comprehensive framework for Bayesian estimation of structural nonlinear dynamic economic models on sparse grids. The Smolyak operator underlying the sparse grids approach frees global approximation from the curse of dimensionality and we apply it to a Chebyshev approximation of the...

In this paper we analyze a hybrid small-scale New-Keynesian model with an arbitrary frequency of the agents synchronized decision making. We study the impact of various demand and supply shocks on the dynamics of the model variables. We show that the corresponding impulse-response functions of...

The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) for the staggered treatment adoption design and a Stata tool that implements the approach. This flexible conditional difference-in-differences approach is particularly useful for...

The present value model of the current account has been very popular, as it provides an optimal benchmark to which actual current account series have often been compared. We show why persistence in observed current account data makes the estimated optimal series very sensitive to small-sample...

The present value model of the current account has been very popular, as it provides an optimal benchmark to which actual current account series have often been compared. We show why persistence in observed current account data makes the estimated optimal series very sensitive to small-sample...