We analyze the data collection strategies of 65,000 developers in the market for mobile applications and track 300,000 applications over four years. Many apps belong to developers with multiple apps. This fact generates variation in the privacy behaviors of the same developer for our analysis....

Policy makers are increasingly concerned about the combination of market power and massive data collection in digital markets. This concern is fueled by the theoretical prediction that more market power causes firms to collect ever more data from their users. We investigate the relationship...

We shed light on a money-for-privacy trade-off in the market for smartphone applications ("apps"). Developers offer their apps cheaper in return for greater access to personal information, and consumers choose between lower prices and more privacy. We provide evidence for this pattern using data...

We study the role of privacy in the market for mobile applications. For such programs used with smartphones and tablet PCs a very important market has emerged. Yet, neither the role of privacy on that market is well understood, nor do we have empirical evidence regarding its role therein. We...

We study the role of privacy in the market for mobile applications. For such programs used with smartphones and tablet PCs a very important market has emerged. Yet, neither the role of privacy on that market is well understood, nor do we have empirical evidence regarding its role therein. We...

Using firm-level data from the German manufacturing sector, we estimate a dynamic, structural model of the firm's decision to invest in R&D and quantify the cost and longrun benefit of this investment. The model incorporates and quantifies linkages between the firm's R&D investment, product and...

We investigate the interdependence of debt financing and R&D activities of young firms. Using micro-level data of the KfW/ZEW Start-up Panel, our estimation results show that firm characteristics are more important than personal characteristics of the founders for explaining young firms'...

We investigate the interdependence of debt financing and R&D activities of young firms. Using micro-level data of the KfW/ZEW Start-up Panel, our estimation results show that firm characteristics are more important than personal characteristics of the founders for explaining young firms'...

Using firm-level data from the German manufacturing sector, we estimate a dynamic, structural model of the firm's decision to invest in R&D and quantify the cost and longrun benefit of this investment. The model incorporates and quantifies linkages between the firm's R&D investment, product and...