Econometric Models for Industrial Organization
eBook - ePub

Econometric Models for Industrial Organization

  1. 156 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Econometric Models for Industrial Organization

About this book

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Economic Models for Industrial Organization focuses on the specification and estimation of econometric models for research in industrial organization. In recent decades, empirical work in industrial organization has moved towards dynamic and equilibrium models, involving econometric methods which have features distinct from those used in other areas of applied economics. These lecture notes, aimed for a first or second-year PhD course, motivate and explain these econometric methods, starting from simple models and building to models with the complexity observed in typical research papers. The covered topics include discrete-choice demand analysis, models of dynamic behavior and dynamic games, multiple equilibria in entry games and partial identification, and auction models.

-->0 Readership: Graduate students and researchers in the field of industrial organization.
-->Econometric Models, Industrial Organization, Discrete-Choice Demand Analysis, Models of Dynamic Behavior and Dynamic Games, Multiple Equilibria in Entry Games and Partial Identification, Auction Models0

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Yes, you can access Econometric Models for Industrial Organization by Matthew Shum in PDF and/or ePUB format, as well as other popular books in Negocios y empresa & Negocios en general. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Halftitle
  3. Title
  4. Copyright
  5. Preface
  6. Author’s Biography
  7. Acronyms
  8. Contents
  9. 1. Demand Estimation for Differentiated-product Markets
  10. 2. Single-agent Dynamic Models: Part 1
  11. 3. Single-agent Dynamic Models: Part 2
  12. 4. Single-agent Dynamic Models: Part 3
  13. 5. Dynamic Games
  14. 6. Auction Models
  15. 7. Partial Identification in Structural Models
  16. 8. Background: Simulation Methods
  17. 9. Problem Sets
  18. Index