An economy's ability to resist adverse shocks, such as an economic recession or natural disaster, is associated with its financial system structure due to different countercyclical funding capabilities. This paper uses a novel database of bank headquarter locations in a cross-country comparison...

An economy’s ability to resist adverse shocks, such as an economic recession or natural disaster, is associated with its financial system structure due to different countercyclical funding capabilities. This paper uses a novel database of bank headquarter locations in a cross-country...

This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the treatment and a continuous instrument for...

Our paper investigates the impact of COVID-19 on stock markets across G7 countries (the US, the UK, Canada, France, Germany, Italy and Japan) and sectors (Consumer Goods, Consumer Services, Financials, Healthcare, Industrials, Materials, Oil & Gas, Technology, Telecommunications and Utilities)...

Empirical analysis of the Fed's monetary policy behavior suggests that the Fed smooths interest rates— that is, the Fed moves the federal funds rate target in several small steps instead of one large step with the same magnitude. We evaluate the effect of countercyclical policy by estimating a...

This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the treatment and a continuous instrument for...

The study aims to examine the impact of COVID-19 on the Turkish stock market volatility and reveal how different industries are affected by COVID-19. Volatility between pre-COVID and COVID periods are compared across industries to understand the impact of the first shock. Markov-switching...

In this paper I use administrative data to estimate the number of deaths, the number of infections, and mortality rates from Covid-19 in Lombardia, the hot spot of the disease in Italy and Europe. The information is relevant for the policy maker, to make decisions, and for the public, to adopt...

This paper discusses identification of causal intensive margin effects. The causal intensive margin effect is defined as the treatment effect on the outcome of individuals with a positive outcome irrespective of whether they are treated or not (always-takers or participants). A potential...

This paper partially identifies population treatment effects in observational data under sample selection, without the benefit of random treatment assignment. Bounds are provided for both average and quantile population treatment effects, combining assumptions for the selected and the...