Updating the study by Seiler and Wohlrabe (2013) we use archetypoid analysis to classify top economists. The approach allows us to identify typical characteristics of extreme (archetypal) values in a multivariate data set. In contrast to its predecessor, the archetypal analysis, archetypoids...

We study the stability of trade policy arrangements under two regulatory scenarios, with/without PTAs. Unlike previous papers, we consider an extensive set of trade policy constellations and allow for unlimited farsightedness of negotiating parties. We find global free trade (GFT) to be uniquely...

Natural disasters have been a major cause of human suffering. Countries with higher income, lower inequality, lower corruption, and more democratic regimes have been found to experience less casualties from disasters. Government repression, however, could also play a role in disaster...

This paper analyses the impact of the Covid-19 pandemic on stock market returns and their volatility in the case of the G20 countries. In contrast to the existing empirical literature, which typically focuses only on either Covid-19 deaths or lockdown policies, our analysis is based on a...

This paper proposes an equilibrium theory of nominal exchange rates, which offers a new perspective on various issues in open economy macroeconomics. The nominal exchange rate and portfolio choices are jointly determined in equilibrium, thus providing a new approach to overcoming the...

We review the literature on the globalization backlash, seen as the political shift of voters and parties in a protectionist and isolationist direction, with substantive implications on governments’ leaning and enacted policies. Using newly assembled data for 23 advanced democracies, we...

This paper uses fractional integration methods to assess the impact of US policy responses (containment and health measures, income support policy, debt-relief policy, changes in the Effective Federal Funds Rate, monetary and fiscal announcements) to the COVID-19 pandemic on US sectoral stock...

Individuals often hold erroneous beliefs about their socio-economic status relative to others. We develop a new machine learning technique to measure these misperceptions and use large-scale international survey data to compute status misperception for 241,757 households from 97 countries (24...