Thanks to the increasing availability of granular, yet high-dimensional, firm level data, machine learning (ML) algorithms have been successfully applied to address multiple research questions related to firm dynamics. Especially supervised learning (SL), the branch of ML dealing with the...

We analyze a social learning model where the agents' utility depends not only on an unknown common component but also on an unknown idiosyncratic component. Each agent splits a learning budget between the two components. We characterize the optimal learning decisions and find necessary and...

Traditional conceptions of learning focus on the formal learning that occurs in contexts such as school and higher education. These however form only part of the learning experience for any individual. Indeed for adults, most learning will occur outside formal contexts either informally or...

The survey is concerned with the issue of information transmission from experts to non-experts. Two main approaches to the use of experts can be traced. According to the game-theoretic approach expertise is a case of asymmetric information between the expert, who is the better informed agent,...

Although international joint ventures (IJVs) have been a dominant market entry mode for years, high failure rates have been reported. Hence, an important part of research on IJVs focuses on success in terms of survival or persistence. The literature on IJV survival and exit (i.e., termination),...

Although international joint ventures (IJVs) have been a dominant market entry mode for years, high failure rates have been reported. Hence, an important part of research on IJVs focuses on success in terms of survival or persistence. The literature on IJV survival and exit (i.e., termination),...