We investigate whether family ownership is associated with a preference for patents or trade secrets. Using a sample of S&P 500 firms, we show that family ownership is negatively associated with patenting and positively associated with the usage of trade secrets. We further show that both...

Do self-formed teams perform better than other team structures? Using unique data from Virgo, a Nobel-prize-winning scientific organization with self-formed teams, first, I uncover new evidence on team formation and performance. Then, I develop a structural model to i) estimate which teams...

We provide a comprehensive overview of the literature on the measurement of democracy and present an extensive update of the Machine Learning indicator of Gründler and Krieger (2016, European Journal of Political Economy). Four improvements are particularly notable: First, we produce a...

Family firms are known for their reluctance to invest in research and development. We show that strengthened trade secret protection is associated with higher R&D investment by family firms. More specifically, we show that the association between the strength of trade secret protection through...

This paper shows that the American Inventor's Protection Act, which introduced the disclosure of patent applications after 18 months, i.e. before a grant decision is taken and, hence, before it is known whether the respective technology receives legal protection, is associated with a reduction...

This paper identifies U.S. monetary and fiscal dominance regimes using machine learning techniques. The algorithms are trained and verified by employing simulated data from Markov-switching DSGE models, before they classify regimes from 1968-2017 using actual U.S. data. All machine learning...

I calculate unemployment multipliers of fiscal consolidation policies in a standard, closed-economy New Keynesian framework with search and matching frictions, and, as an innovation, in the presence of sectoral heterogeneity. Family and non-family firms behave differently in the labor market and...