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Advanced Short Course on Econometric Techniques for Competition Analysis (4 a.h.1)

Prof. Christos GENAKOS

                   
Outline of Course Contents
                

2 hours: Empirical Approached to Causal Inference

  • Panel data, Instrumental Variables, Difference-in-Differences, Randomized Control Trials
  • STATA sessions and applications related to competition and regulation


2 hours: Demand Estimation and Merger Simulations

  • Discrete choice models for estimating demand and market power in differentiated product markets (Logit, Nested Logit, Random Coefficients Model)
  • STATA and Matlab sessions and applications using the Nested Logit and the Random Coefficients Model for calculating elasticities and merger simulations

 

1
a.h. = academic hour (50 minutes).

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