Última actualización: 10/07/2020


Curso Académico: 2021/2022

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:




Requisitos (Asignaturas o materias cuyo conocimiento se presupone)
The student must have completed successfully the first year of MEIM/MIEM in order to register for this course.
Objetivos
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.).
Competencias y resultados del aprendizaje
Descripción de contenidos: Programa
The topics covered include: 1) Estimation of cost functions (with replication of Nerlove 1963 and Christensen and Green 1976) 2) Computing the cost of capital: an application to State aid (with an illustration to the Ciudad de la Luz case) 3) Identification of causal effects 4) Identification of conduct 5) Collusion (with replication: Steen & Roeller, cement cartel, AER) 6) Market structure and entry 6) Demand estimation: discrete choice (with a repliaction based on Shum 2004) 7) Empirical analysis of mergers: efficiency vs market power, identification of Type I and Type II errors 8) Advertising and promotion as a strategic tool: an illustration with the pharmaceutical industry 9) Forensic economics: construction and estimation of the counterfactual 10) World duopoly: the Airbus vs. Boeing rivalry 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.