TEACHING
Advanced Industrial Economics, Spring 2023, KU Leuven
The course provides a graduate-level introduction (master and Ph.D.) to the topics and methods of Industrial Organization (IO). The course presents theoretical and empirical tools to analyze consumer behavior and strategic interaction between firms in various industries and to evaluate business strategies and public policies. The course is designed to provide a solid understanding of the structure of markets where policy issues related to antitrust and regulation and business implications of pricing, innovation, and competition are frequently publicly debated.
Advanced Industrial Organization (Graduate School), Spring 2021, University of Gothenburg
Lecture: Demand estimation
Lecture: Estimation oligopoly models (conduct lab)
Lecture: Estimation of entry models
Lecture: Estimation collusion models
Lecture: Meager simulation
Advanced Micro Theory (Graduate School), Spring 2021, University of Gothenburg
Lectures: Bounded rationality
Lectures: Matching markets
Lectures: Contract theory - Moral hazard
Dynamic Methods (PhD), Fall 2019, KU Leuven
The course presents the theory and applications of optimization techniques used to solve complex economic problems under uncertainty.
Empirics: Various numerical and empirical applications from IO, macro, management, marketing, environmental economics, finance are presented.
Software: Julia scientific programming language is used.
Introduction: Static optimization and transition to dynamics
Dynamic programming: Foundations of dynamic analysis in economics - part 1
Dynamic programming: Foundations and examples -part 2
Discrete dynamic programming: Nested fixed-point algorithm (NXFP) and empirical applications
Discrete dynamic programming: Alternative approaches of identification and estimation (CCP and NPL)
Dynamic programming: Simulation approach
Approximate dynamic programming (ADP): Foundations
Approximate Dynamic Programming: Empirical implementation and applications
Dynamic programming: Euler equation and its role in estimating dynamic economic models
Recent topics on dynamic methods
Industrial Organization (master), Spring 2018, 2019, 2020 Stockholm School of Economics
Dynamic Methods, Fall 2017, KU Leuven
Industrial Organization, Spring 2017, Stockholm School of Economics
Lecture: Product differentation
Advanced Industrial Organization, Spring 2008-2014, University of Gothenburg
Lecture: Demand Estimation
Data: berry1994Example.csv (CSV)
Lecture:Lab1:Testing static oligopoly models
Data(Stat): dutch_coffee_2014.dta
Data(CSV): dutch_coffee_2014.csv
Industrial Economics, Fall 2008-2014, University of Gothenburg
Lecture: Networks
Financial Econometrics, Spring 2012, University of Gothenburg
Lecture: Nonstationarity
R code: Simulation AR(1) model
STATA code: Cointegration Example
Data: U.S. Treasury Bill
Log file: Cointegration Example
Figures: Cointegration Example
Advanced Industrial Organization II, Fall 2010
Empirical Studies on Theory of the Firm and Vertical Integration
Empirical Contract Theory. Part I
Lab1: Empirical M&A analysis Data: computer_industry.dta
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