We build a time varying DSGE model with financial frictions in order to evaluate changes in the responses of the macroeconomy to financial friction shocks. Using US data, we find that the transmission of the financial friction shock to economic variables, such as output growth, has not changed...

DSGE models have recently received considerable attention in macroeconomic analysis and forecasting. They are usually estimated using Bayesian methods, which require the computation of the likelihood function under the assumption that the parameters of the model remain fixed throughout the...

This paper uses a dynamic CGE model to assess the intertemporal and spatial dimension of technology spillovers embodied in international trade within a climate and trade policy framework. Three are the main contributions of the study. First, to include endogenous factor-biased technical change...

The present research proposes a macroeconomic assessment of the role of waste incineration with energy recovery (WtE) and controlled landfill biogas to electricity generation and their potential contribution to a CO2 emission reduction policy, within a recursive-dynamic computable general...

Human-generated greenhouse gases depend on the level of economic activity. Therefore, most climate change studies are based on models and scenarios of economic growth. Economic growth itself, however, is likely to be affected by climate change impacts. These impacts affect the economy in...

We suggest the use of an Internet job-search indicator (the Google Index, GI) as the best leading indicator to predict the US unemployment rate. We perform a deep out-of-sample forecasting comparison analyzing many models that adopt both our preferred leading indicator (GI), the more standard...

This paper examines house price diffusion across metropolitan areas in the United States. We develop a generalization of the Hamilton and Owyang (2012) Markov-switching model, where we incorporate direct regional spillovers using a spatial weighting matrix. The Markov-switching framework allows...

China is faced with the big challenge of maintaining a remarkable economic growth in an environmental friendly manner; that is why forecasting the turning point is of necessity. Traditional econometric approaches do not consider the spatial dependence that inevitably exists in the economic...

An instrumental variables (IV) identification strategy that exploits statutory class size caps shows significant achievement gains in smaller classes in Italian primary schools. Gains from small classes are driven mainly by schools in Southern Italy, suggesting a substantial return to class size...