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.