In this paper, we employ both calibration and modern (Bayesian) estimation methods to assess the role of neutral and investment-specific technology shocks in generating fluctuations in hours. Using a neoclassical stochastic growth model, we show how answers are shaped by the identification...

We develop a new methodology to compute differences in the expected longevity of individuals who are in different socioeconomic groups at age 50. We deal with the two main problems associated with the standard use of life expectancy: that people's socioeconomic characteristics evolve over the...

In this Paper we show the quantitative importance of the process that determines changes in family composition to determine the main macroeconomic magnitudes. We do so by modeling family type as a stochastic process that affects households in a way similar to shocks to earnings. Agents respond...

How should aggregate public expenditures be traded off against their financing costs? We incorporate public expenditures into a standard neoclassical growth setup with model policy choice as made by a government choosing tax rates and spending so that the resulting competitive equilibrium...

Large and persistent global financial imbalances need not be the harbinger of a world financial crash. Instead, we show that these imbalances can be the outcome of financial integration when countries differ in financial markets deepness. In particular, countries with more advanced financial...

In this paper we construct a stochastic overlapping-generations general equilibrium model in which households are subject to aggregate shocks that affect both wages and asset prices. We use a calibrated version of the model to quantify how the welfare costs of severe recessions are distributed...

This Paper suggests that skill accumulation through past work experience, or ‘learning-by-doing’ (LBD), can provide an important propagation mechanism in a dynamic stochastic general equilibrium model, as the current labour supply affects future productivity. Our econometric analysis uses a...

The time series fit of dynamic stochastic general equilibrium (DSGE) models often suffers from restrictions on the long-run dynamics that are at odds with the data. Relaxing these restrictions can close the gap between DSGE models and vector autoregressions. This paper modifies a simple...

This paper reviews Bayesian methods that have been developed in recent years to estimate and evaluate dynamic stochastic general equilibrium (DSGE) models. We consider the estimation of linearized DSGE models, the evaluation of models based on Bayesian model checking, posterior odds comparisons,...

This paper derives limit distributions of empirical likelihood estimators for models in which inequality moment conditions provide overidentifying information. We show that the use of this information leads to a reduction of the asymptotic mean-squared estimation error and propose asymptotically...