Specifications
book-author | Harry J. Paarsch ; Han Hong ; M. Ryan Haley |
---|---|
file-type | |
isbn10 | 0262162350 |
isbn13 | 9780262162357 |
language | English |
publisher | The MIT Press |
Book Description
“An Introduction to the Structural Econometrics of Auction Data” by Harry J. Paarsch and Han Hong, with contributions from M. Ryan Haley, is a seminal work that explores the intricate world of structural econometrics as applied to auction data. Published by MIT Press, this book is a valuable resource for economists, researchers, and scholars seeking a comprehensive introduction to the analytical tools and methodologies employed in understanding auction markets.
The authors, Harry J. Paarsch and Han Hong, are recognized experts in the field of econometrics, particularly in the context of auction theory. Leveraging their expertise, they provide a thorough and accessible introduction to the structural econometric techniques that are crucial for analyzing auction data.
The book is likely to cover key topics such as bidder behavior, auction design, and market structure. Through a combination of theoretical insights and empirical applications, readers can expect to gain a deep understanding of the complexities involved in modeling and interpreting auction data.
Additionally, the contribution of M. Ryan Haley adds practical perspectives, potentially enhancing the book's applicability to real-world scenarios. This collaborative effort is likely to offer readers a well-rounded and insightful exploration of structural econometrics as it pertains to auctions.
The MIT Press publication signifies a commitment to academic rigor and scholarly excellence. The content is expected to be well-researched, incorporating the latest advancements in the field and providing a foundation for both students and professionals to engage with the nuances of auction data analysis.
Whether used as a textbook in advanced econometrics courses or as a reference for researchers and practitioners, “An Introduction to the Structural Econometrics of Auction Data” is anticipated to be a valuable addition to the literature, offering a comprehensive and up-to-date resource for those seeking to navigate the complexities of modeling and interpreting auction markets.
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