Tests of the present-value model of the current account are frequently rejected by the data. Standard explanations rely on the "usual suspects" of nonseparable preferences, shocks to fiscal policy and the world real interest rate, and imperfect international capital mobility. The authors confirm...

Tests of the present-value model of the current account are frequently rejected by the data. Standard explanations rely on the "usual suspects" of nonseparable preferences, shocks to fiscal policy and the world real interest rate, and imperfect international capital mobility. The authors confirm...

The time series literature reports two stylized facts about output dynamics in the United States. GNP growth is positively autocorrelated over short horizons and negatively autocorrelated over longer horizons, and GNP has an important trend reverting component which has a hump-shaped moving...

Tests of the present-value model of the current account are frequently rejected by the data. Standard explanations rely on the "usual suspects" of non-separable preferences, shocks to fiscal policy and the world real interest rate, and imperfect international capital mobility. We confirm these...

This paper uses minimum-variance (MV) admissible kernels to estimate risk premia associated with economic risk variables and to test multi-beta models. Estimating risk premia using MV kernels is appealing because it avoids the need to 1) identify all relevant sources of risk and 2) assume a...

Models used for policy analysis should generate reliable unconditional forecasts as well as policy simulations (conditional forecasts) that are based on a structural model of the economy. Vector autoregression (VAR) models have been criticized for having inaccurate forecasts as well as being...

This paper explores the capability of a dynamic stochastic general equilibrium model with staggered price setting and real wage rigidities to fit the data with reasonable average durations of price and wage contracts. The authors implement a Bayesian approach for parameter estimation and for...