We analyze the duration of the patent examination process at the EuropeanPatent Office (EPO). Our data contain information related to the patent’seconomic and technical relevance, EPO capacity and workload as well as novelcitation measures which are derived from the EPO’s search reports. In...

We exploit a large reform of capital-gains taxation in Germany combined with portfolio-level daily panel data to study the causal effect of taxes on individual stock-trading behavior and the disposition effect. We find substantial spikes in selling probabilities around an intertemporal tax...

We analyse the duration of unemployment spells in Poland using data from the Polish Labour Force Survey of August 1994. The effects on the duration of unemployment of important socio-economic and demographic characteristics are explored besides the impacts of the unemployment benefit system and...

Unemployment duration data derived from retrospective surveys often show an abnormal concentration of responses at certain durations. This common kind of measurement error is known as "heaping" in the statistical literature. Although heaping effects may lead to severe biases in estimated...

Does the current account improve or deteriorate following a monetary policy expansion? We examine this issue theoretically and empirically. We show that a standard open economy DSGE model predicts that the current account response to a monetary policy shock depends on the degree of economic...

We study cross-country differences in monetary policy transmission across the large four euro-area countries (France, Germany, Italy and Spain) using a large Bayesian vector autoregressive model with endogenous prior selection. Drawing both on the posterior distributions of the cross-country...

We explore whether modelling parameter time variation improves the point, interval and density forecasts of nine major exchange rates vis-a-vis the US dollar over the period 1976-2015. We find that modelling parameter time variation is needed for an accurate calibration of forecast confidence...

Bayes' statistical rule remains the status quo for modeling belief updating in both normative and descriptive models of behavior under uncertainty. Recent research has questioned the use of Bayes' rule in descriptive models of behavior, presenting evidence that people overweight 'good news'...

We apply Bayesian Model Averaging and a frequentistic model space analysis to assess the pricing-determinants of credit default swaps (CDS). Our study focuses on the complete model space of plausible models covering most of the variables and specifications used elsewhere in the literature,...

This paper considers factor estimation from heterogenous data, where some of the variables are noisy and only weakly informative for the factors. To identify the irrelevant variables, we search for zero rows in the loadings matrix of the factor model. To sharply separate these irrelevant...