Название: Game Theory for Applied Econometricians: Data Analytics with RАвтор: Christopher P. Adams
Издательство: CRC Press
Год: 2025
Страниц: 281
Язык: английский
Формат: pdf (true), epub
Размер: 10.6 MB
Over the last 30 years the practice and use of game theory has changed dramatically, yet textbooks continue to present game theory with algebraic formalism and toy models. This book, on the other hand, illustrates game theory concepts using real-world data and analyses problems with real policy implications. The focus is on applying current learning to real world problems by providing an introduction to game theory and econometric analysis based on game theoretic principles using the computer language R.
The book teaches game theory through code, in particular, it will use the scripting language R. It is not primarily aimed at teaching R. Rather, it is primarily aimed at teaching game theory. This idea of using computer programming as a tool of instruction goes back to at least Seymour Papert and MIT's AI lab in the 1970s.1 Papert helped develop a programming language called Logo. The goal of Logo was to teach geometry by programming how a turtle moves around the screen. You may have used one of the offspring of Logo, such as Scratch or Lego Mindstorms.
The book uses Papert's ideas to teach game theory. You will learn the math of the game or estimation method and then how to program that game or estimation method. The book makes particular use of the computer's ability to simulate data. This allows us to experiment with more complicated and realistic games than is possible with pen and paper. The book is written in RStudio using Sweave. Sweave allows LaTeX to be integrated into R. LaTeX is a free type-setting language that is designed for writing math. Much of the code that is used in the book is actually presented in the book.
The book covers the standard topics of an introductory game theory course including dominant strategies, Nash equilibrium and Bayes Nash equilibrium. It layers on top of this an approach to statistics and econometrics called Structural Modeling. In this approach, key parameter estimates rely upon game theoretic analysis. The real-world examples used to illustrate these concepts vary in scope and include an analysis of bargaining between hospitals and insurers, equilibrium entry of retail tire stores, bid rigging in timber auctions and contracts in 19th century whaling.
This book is aimed at the general reader with the equivalent of a bachelor’s degree in economics, statistics or some more technical field. The book could be used as a text for an upper level undergraduate course or a lower level graduate course in economics or business.
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