Factor models can cope with many variables without running into scarce degrees of freedom problems often faced in a regression-based analysis. In this article we review recent work on dynamic factor models that have become popular in macroeconomic policy analysis and forecasting. By means of an...

This paper proposes a new method of forecasting euro area quarterly real GDP that uses area-wide indicators, which are derived by optimally pooling the information contained in national indicator series. Following the ideas of predictive modeling, we construct the area-wide indicators by...

World economies, and especially European ones, have become strongly interconnected in the last decades and a joint modelling is required. We propose here the use of Copulas to build flexible multivariate distributions, since they allow for a rich dependence structure and more flexible marginal...

We discuss “Mandatory IFRS Reporting and Changes in Enforcement” by Christensen, Hail, and Leuz (CHL, 2013). We begin by discussing CHL in the context of prior literature, and subsequently discuss the research design, results, and inferences. CHL seeks to contribute to the literature by...

This paper proposes a new method of forecasting euro area quarterly real GDP that uses areawide indicators, which are derived by optimally pooling the information contained in national indicator series. Following the ideas of predictive modeling, we construct the area-wide indicators by...

Many studies estimate the impact of exposure to some quasi-experimental policy or event using a panel event study design. These models, as a generalized extension of 'difference-in-differences' or two-way fixed effect models, allow for dynamic lags and leads to the event of interest to be...

The current paper studies equity markets for the contagion of squared index returns as a proxy for stock market volatility, which has not been studied earlier. The study examines squared stock index returns of equity in 35 markets, including the US, UK, Euro Zone and BRICS (Brazil, Russia,...

This is the first paper that estimates the global land use change impact of growth of the bioenergy sector. Applying time-series analytical mechanisms to fuel, biofuel and agricultural commodity prices and production, we estimate the long-rung relationship between energy prices, bioenergy...

The present paper studies the land use change impacts of fuels and biofuels. We test the theoretical hypothesis, which says that changes in fuel prices cause changes in land use both directly and indirectly and, because of price inter-dependencies, biofuels reinforce the land use change impacts....

This is the first paper that estimates the global land use change impact of growth of the bioenergy sector. Applying time-series analytical mechanisms to fuel, biofuel and agricultural commodity prices and production, we estimate the long-rung relationship between energy prices, bioenergy...