We examine whether collective memories on the aid&reform programs chosen to handle the 2010 European debt crisis differ between citizens from borrower and lender countries. We use new international survey data for non-experts and experts in member countries of the euro area. The results show...

This paper presents a global model linking individual country vector error-correcting models in which the domestic variables are related to the country-specific variables as an approximate solution to a global common factor model. This global VAR is estimated for 26 countries, the euro area...

I examine whether elections influence perceived corruption in the public sector. Perceived corruption in the public sector is measured by the reversed Transparency International’s Perception of Corruption Index (CPI). The dataset includes around 100 democracies over the period 2012-2016, a...

Do experts adjust their policy recommendations when the facts change? We conduct a large-scale randomized experiment among 1,224 economic experts across 109 countries that includes two treatments. The first treatment is the geographic and temporal variation in the initial spread of Covid-19...

The nexus between corruption and economic growth has been examined for a long time. Many empirical studies measured corruption by the reversed Transparency International's Perception of Corruption Index (CPI) and ignored that the CPI was not comparable over time. The CPI is comparable over time...

We examine how trade openness influences income inequality within countries. The sample includes 139 countries over the period 1970-2014. We employ predicted openness as instrument to deal with the endogeneity of trade openness. The effect of trade openness on income inequality differs across...

We use the US presidential election on 3 November 2020 to examine how the US president influences economic expectations of international experts. We design a large-scale RCT among 843 experts working in 107 countries, asking about their expectations regarding GDP growth, unemployment, inflation,...

This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and suggests the use of devolatized returns computed as returns standardized by realized volatilities rather than by GARCH type volatility estimates. The t-DCC...