This course is meant for PhD Management students at the University of Vienna with an interest in doing empirical research.
Furthermore, we strongly recommend:
• Successful attendance of the course Econometrics, or in-depth knowledge of the contents of that course.
• Successful attendance of the course Multivariate Business Statistics, or in-depth knowledge of the contents of that course.
One focus of this class will be on getting you to work on applied problems yourself. Essentially, the course will follow a “sandwich format” where front-end theory sessions, alternate with student presentations on selected research articles, and computer sessions during which we work on simulated and real data.
• Foss, N. J., & Laursen, K. (2005). Performance pay, delegation and multitasking under uncertainty and innovativeness: An empirical investigation. Journal of Economic Behavior and Organization, 58, 2, 246-276.
• Gulati, R., & Singh, H. (1998). The Architecture of Cooperation: Managing Coordination Costs and Appropriation Concerns in Strategic Alliances. Administrative Science Quarterly, 43, 4, 781-814.
• Henkel, J. (2006). Selective revealing in open innovation processes: The case of embedded Linux. Research Policy, 35, 7, 953-969.
• Henkel, J., & Reitzig, M. (2008). Patent Sharks. Harvard Business Review, 86, 6, 129-133.
• Maddala, G. S. (1983). Limited-dependent and qualitative variables in econometrics. Cambridge [Cambridgeshire: Cambridge University Press.
• Mukherjee, A. S., Lapre, M. A., & Van Wassenhove, L. N. (1998). Knowledge Driven Quality Improvement. Management Science, 44.
• Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data. Cambridge, Mass: MIT Press.
• Wooldridge, J. M. (2002). Introductory econometrics: A modern approach. Princeton, N.J.