Using a two-sector endogenous growth model, this paper explores how productivity shocks in the goods and human capital producing sectors contribute to explaining aggregate cycles in output, consumption, investment and hours. To contextualize our findings, we also assess whether the human capital...

This paper develops a dynamic stochastic general equilibrium model to examine the quantitative macroeconomic implications of counter- cyclical fiscal policy for France, Germany and the UK. The model incorporates real wage rigidity which is the particular market failure justifying policy...

In this paper, we employ total factor productivity data adjusted for factor utilisation over the cycle, to model the dynamic interaction between TFP and employment. Our data spans twenty 2-digit SIC code manufacturing sectors in the US. There are two key results. First, we show that the impact...

This paper develops a dynamic stochastic general equilibrium (DSGE) model to examine the quantitative macroeconomic implications of counter-cyclical fiscal policy for France, Germany and the UK. The model incorporates real wage rigidity and consumption habits, as the particular market failures...

We present several new measures of gross-output-based total factor productivity (TFP) at the sectoral level for manufacturing industries in the G-7 economies. We calculate measures of both TFP growth and comparative levels. These are obtained by combining conventional Organisation for Economic...

This paper contributes to the on-going empirical debate regarding the role of the RBC model and in particular of technology shocks in explaining aggregate fluctuations. To this end we estimate the model’s posterior density using Markov-Chain Monte-Carlo (MCMC) methods. Within this framework we...

This paper contributes to the on-going empirical debate regarding the role of the RBC model and in particular of neutral and investment-specific technology shocks in explaining aggregate fluctuations. To achieve this, we estimate the model's posterior density using Bayesian methods. Within this...