Empirical Methods (taught at CERGE-EI in 2012, 2013, 2014, 2016) Syllabus
This course seeks to familiarize second year PhD students to reduced-form empirical research with an emphasis on identification techniques and practical examples. At the end of the course, students should be able to recognize threats to identification and to formulate identification strategies. Various other issues arising in empirical research will also be discussed. The course is based on actual recent papers. Students are expected to complete assignments and to participate actively in classroom discussions.
Statistics (taught at CERGE-EI in 2012, 2013, 2014, 2015, 2016) Syllabus
The goal of this first year PhD course is to give students a deeper understanding of the statistical theory and practice and to build up a background for econometric analysis. The emphasis of this course is on the principles of probability theory, stochastic processes, and statistical inference.
Innovation and Entrepreneurship (taught at CERGE-EI in 2014 and 2017)
This course introduces students to the economics of innovation and entrepreneurship. It will combine insights from industrial organization, strategy, innovation management, contract theory and corporate finance with descriptions of key stylized facts in innovation and entrepreneurship. The contents of the course should be of interest to anyone planning to work for a technology-intensive firm or as a consultant or analyst in technology-driven industry segments. While the course will occasionally cover simple models, the emphasis is on intuition and empirical findings. I will provide self-contained slides which will be the main course material.