This paper analyzes the role of the United States in the global economy and examines the extent of global spillovers from changes in U.S. growth, monetary and fiscal policies, and uncertainty in its financial markets and economic policies. Developments in the U.S. economy, the world's largest,...

This paper analyzes the role of the United States in the global economy and examines the extent of global spillovers from changes in U.S. growth, monetary and fiscal policies, and uncertainty in its financial markets and economic policies. Developments in the U.S. economy, the world's largest,...

Economic developments in the United States and China, the world's two largest economies, can have effects far beyond their shores. A slowdown in these economies would result in considerably lower global growth transmitted through trade, financial, and commodity market channels. Changing U.S....

This paper analyzes the role of the United States in the global economy and examines the extent of global spillovers from changes in U.S. growth, monetary and fiscal policies, and uncertainty in its financial markets and economic policies. Developments in the U.S. economy, the world’s largest,...

We introduce a multivariate multiplicative error model which is driven by componentspecific observation driven dynamics as well as a common latent autoregressive factor. The model is designed to explicitly account for (information driven) common factor dynamics as well as idiosyncratic effects...

This paper addresses two important questions that have, so far, been studied separately in the literature. First, the paper aims at explaining the high volatility of long-term interest rates observed in the data, which is hard to replicate using standard macro models. Building a small-scale...

In this paper, we review the most common specifications of discrete-time stochastic volatility (SV) models and illustrate the major principles of corresponding Markov Chain Monte Carlo (MCMC) based statistical inference. We provide a hands-on ap proach which is easily implemented in empirical...

This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed "initial conditions problem," as well as the...

We analyze the way women's education influences the effect of children on their level of labor market involvement. We propose an econometric model that accounts for the endogeneity of labor market and fertility decisions, for the heterogeneity of the effects of children and their correlation...

We use panel data from NLSY79 to analyze the effects of the timing and spacing of births on the labor supply of married women in a framework that accounts for the endogeneity of labor market and fertility decisions, the heterogeneity of the effects of children and their correlation with the...