The most critical factor in econometric estimations is parameter identification. Identification in econometric models formalizes prior assumptions and the data to information about a parameter of interest. However, there are two important features characterize duration data. The first one is...

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...

In recent times the service sector is often called the driving force of today's economies. This paper analyses the innovative activities of German service firms. We investigate whether firms that receive public subsidies for innovation projects engage more in innovative activities than others....

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...

Self-employment grants and employment subsidies are active labor market programs that aim at helping unemployed workers to escape unemployment by becoming self-employed or being hired at an initially reduced cost for the employer. In Sweden in the 1990's the participation rate in the...

This paper estimates the relative efficiency of eight Swedish labor market programs in reducing the unemployment duration for participants. The analysis uses a hazard regression model and a uniquely large and rich administrative data set that contains all adult workers who became unemployed...