Última actualización: 10/09/2018


Curso Académico: 2019/2020

Organización Industrial II: Modelos Empíricos
(16264)
Titulación: Master in Industrial Economics and Markets (270)
Escuela de Economía y Ciencia Política


Coordinador/a: SIOTIS , GEORGIOS

Departamento asignado a la asignatura: Departamento de Economía

Tipo: Obligatoria
Créditos: 6.0 ECTS

Curso:
Cuatrimestre:




Materias que se recomienda haber superado
The student must have completed successfully the first year of MEIM/MIEM in order to register for this course.
Competencias que adquiere el estudiante y resultados del aprendizaje.
In this course, the student will master different techniques used in empirical industrial organization. The student will also acquire the ability to apply these techniques to specific firms and industries to assess their performance.. The core competences to be learned by the students include applied economic theory and empirical method that are used to analyse specific issues and particular industries (automobiles, cement, mobile telephony, pharmaceuticals, civilian aircraft etc.).
Descripción de contenidos: Programa
The topics covered include: 1) Estimation of cost functions 2) Computing the cost of capital: an application to State aid 3) Methods for identification 4) Demand estimation: discrete choice 5) Inter-industry studies of conduct and performance 6) Identification of single firm conduct 7) Coordinated behaviour: methods for identification and measurement of market power (with replication: Steen & Roeller, cement cartel, AER) 8) Market structure, price and entry 9) Sunk cost and market structures 10) Empirical analysis of mergers: efficiency vs market power, identification of Type I and Type II errors 11) Advertising and promotion as a strategic tool: an illustration with the pharmaceutical industry 12) Forensic economics: construction and estimation of the counterfactual 13) World duopoly: estimating the effect of Airbus' entry 14) Investment specificity, demand fluctuations, and market structure
Actividades formativas, metodología a utilizar y régimen de tutorías
The course requires the presence of the student. The core of the formative activities are the classes taught by the professor, which are designed to transmit the competences described in the sections above. The classes are designed to allow the participation of the students, which is taken into account to compute the final grade point average. Lecture notes (powepoint presentations)will be distributed to students in order to facilitate their review of the course materials and the understanding of the main topics covered in the course. The course combines qualitative questions to reinforce the main theoretical concepts, analytical questions to help the understanding of the mathematical models used in empirical research of industrial organization. The specific methods used by the instructor include: - Sessions focused on the main topics and theoretical concepts of empirical industrial organization. - Sessions focused on specific applications, real industries and case studies. - Discussion and participation of students in class, with special emphasis on the discussion of case studies. - Electronic distribution of lecture notes and materials for each class. - Use of electronic presentations and the web during the on class sessions. - Electronic distribution of problem sets, with individual corrections and feedback provided to students. - Student presentations - Written Exam to test acquired knowledge.
Sistema de evaluación
  • Peso porcentual del Examen Final 40
  • Peso porcentual del resto de la evaluación 60
Bibliografía básica
  • Davis, P., Garces, E.. Quantitative techniques for competition and antitrust analysis. Princeton University Press. 2010
  • Heckman, J. J., and E. E. Leamer. Handbook of Econometrics Volume 6A. North-Holland Publishing. 2007
  • Miranda, M., J., and P. L. Fackler. Applied Computational Economics and Finance. The MIT Press. 2002
  • Motta, M.,. Competition Policy, Theory and Practice. Cambridge University Press. 2004
  • Perloff, J.M., Karp, L. S., and A. Golan. Estimating Market Power and Strategies. Cambridge University Press. 2007
  • Train, K.. Discrete Choice Methods with Simulation. Cambridge University Press. 2009
  • Wooldridge, J.. Econometric Analysis of Cross Section and Panel data. The MIT Press. 2002

El programa de la asignatura y la planificación semanal podrían sufrir alguna variación por causa de fuerza mayor debidamente justificada o por eventos académicos comunicados con antelación.