Empirical industrial organization (RM/PhD)

I teach this course in Tilburg with Tobias Klein and Nicola Pavanini (230319 and 230323). I also taught its second half in the Finnish Doctoral Programme in Economics (SEIO11). The course targets second year Research Master and PhD students in business and economics with an interest in structural econometrics and computational economics. It aims at familiarizing them with current research in empirical industrial organization and marketing, and preparing them to do their own research in the field.

Recent developments in computational and econometric methods on the one hand and data availability on the other hand have boosted the literature on the structural empirical analysis of market structure and strategic interactions in markets. This course reviews a selection of these developments by providing in-depth discussions of key papers in the empirical industrial organization literature. It focuses on state-of-the-art econometric and computational methods and illustrates these with selected applications. The course is taught in two parts:

  • Part 1 (230319) covers discrete choice and static demand estimation, consumer search, and static models of entry and market structure. It also provides a hands-on introduction to MATLAB, with applications to the estimation of static demand systems.
  • Part 2 (230323) continues by studying dynamic models and the computational and econometric methods to analyse them. It reviews methods for the analysis of dynamic discrete choice, dynamic demand, dynamic models of entry and market structure, and more general dynamic games; studies empirical applications of these methods; and offers hands-on experience with their implementation using the MATLAB packages Abbring and Klein (2015) and Abbring, Campbell, Tilly, and Yang (2018).
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