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...

When learning-by-doing is at the origin of growth, we show that growth rates should be negatively related to the amplitude of the business cycle if the growth rate in human capital is increasing and concave in the cyclical component of production. Empirical evidence strongly supports this...

Dynamic Stochastic General Equilibrium (DSGE) models are now considered attractive by the profession not only from the theoretical perspective but also from an empirical standpoint. As a consequence of this development, methods for diagnosing the fit of these models are being proposed and...

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,...

In this paper we analyze the ability of an open economy version of the neoclassical model to account for the time-series evidence on fiscal policy transmission. In a first step, we identify government spending shocks within a vector autoregression model. We find that i) government spending...

This chapter highlights the problems that structural methods and SVAR approaches have when estimating DSGE models and examining their ability to capture important features of the data. We show that structural methods are subject to severe identification problems due, in large part, to the nature...

We investigate identification issues in DSGE models and their consequences for parameter estimation and model evaluation when the objective function measures the distance between estimated and model-based impulse responses. Observational equivalence, partial and weak identification problems are...

This Paper proposes a model of business cycles in which recessions and booms arise as the result of difficulties encountered by agents in properly forecasting the economy's future needs in terms of capital. The idea has a long history in the macroeconomic literature, as reflected by the work of...

We propose a measure of predictability based on the ratio of the expected loss of a short-run forecast to the expected loss of a long-run forecast. This predictability measure can be tailored to the forecast horizons of interest, and it allows for general loss functions, univariate or...

In addition to quantitative assessment of economic growth using econometric models, business cycle analyses have been proved to be helpful to practitioners in order to assess current economic conditions or to anticipate upcoming fluctuations. In this paper, we focus on the acceleration cycle in...