We provide the first long-run dataset of regional employment structures and regional GDP and GDP per capita in 1990 international dollars, stretching over more than 100 years. These data allow us to compare regions over time, among each other, and to other parts of the world. After some brief...

In this study, we compare the out-of-sample forecasting performance of several modern Value-at- Risk (VaR) estimators derived from extreme value theory (EVT). Specifically, in a multi-asset study covering 30 years of stock, bond, commodity and currency market data, we analyse the accuracy of the...

We introduce a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high quantiles of return distributions. We investigate the relative performance of VaR and ES models using daily returns for sixteen stock market indices (eight from developed and eight...

We introduce archetypal analysis as a tool to describe and categorize scientists. This approach identifies typical characteristics of extreme ('archetypal') values in a multivariate data set. These positive or negative contextual attributes can be allocated to each scientists under...

We assess the robustness of previous findings on the determinants of terrorism. Using extreme bound analysis, the three most comprehensive terrorism datasets, and focusing on the three most commonly analyzed aspects of terrorist activity, i.e., location, victim, and perpetrator, we re-assess the...

Many modern trade and growth models are characterized by multiple equilibria. In theory the analysis of multiple equilibria is possible, but in practice it is difficult to test for the presence of multiple equilibria. Based on the methodology developed by Davis and Weinstein (2004) for the case...