We consider the extent to which different time-series models can generate simulated data with the same business cycle features that are evident in U.S. real GDP. We focus our analysis on whether multivariate linear models can improve on the previously documented failure of univariate linear...

According to the rising “Google econometrics” literature, Google queries may help predict economic activity. The aim of our paper is to test if these data can enhance predictions for youth unemployment in France. As we have on the one hand weekly series on web search queries and on the other...

By using data collected through a survey containing newly enrolled student in Management Engineering at the University of Brussels, we show that even if all students do not come with the same chance of success at university, their working/studying behavior may lessen the burden of the past....

This chapter provides a thorough survey of what recent international (i.e., cross-country) studies can tell us about the multiple causes of income inequality in the OECD area with regard to both levels and trends. The survey covers economics literature in particular but also relevant evidence...

This paper aims to suggest the best forecasting model for the semiconductor market. A wide range of alternative modern econometric modeling approaches have been implemented, and a large variety of criteria and tests have been employed to assess the out-of-sample forecasting accuracy at various...

Copulas are functions that describe the dependence between two or more random variables. This article provides a brief review of copula theory and two areas of economics in which copulas have played important roles: multivariate modeling and partial identification of parameters that depend on...