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Structural Econometrics Modeling in Industrial Organization and Quantitative Marketing Hortaçsu, Ali

By: Contributor(s): Material type: TextTextPublication details: Princeton Princeton University Press 2023Description: ix, 265p. Includes indexISBN:
  • 9780691243467
Subject(s): Other classification:
  • X:(B2892) R3
Summary: A concise and rigorous introduction to widely used approaches in structural econometric modeling Structural econometric modeling specifies the structure of an economic model and estimates the model's parameters from real-world data. Structural econometric modeling enables better economic theory-based predictions and policy counterfactuals. This book offers a primer on recent developments in these modeling techniques, which are used widely in empirical industrial organization, quantitative marketing, and related fields. It covers such topics as discrete choice modeling, demand modes, estimation of the firm entry models with strategic interactions, consumer search, and theory/empirics of auctions. The book makes highly technical material accessible to graduate students, describing key insights succinctly but without sacrificing rigor.
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Textbook Textbook Ratan Tata Library Ratan Tata Library X:(B2892) R3 (Browse shelf(Opens below)) Checked out to SOURAV SARKAR (RL102000016) 2025-09-24 RT1528372

A concise and rigorous introduction to widely used approaches in structural econometric modeling Structural econometric modeling specifies the structure of an economic model and estimates the model's parameters from real-world data. Structural econometric modeling enables better economic theory-based predictions and policy counterfactuals. This book offers a primer on recent developments in these modeling techniques, which are used widely in empirical industrial organization, quantitative marketing, and related fields. It covers such topics as discrete choice modeling, demand modes, estimation of the firm entry models with strategic interactions, consumer search, and theory/empirics of auctions. The book makes highly technical material accessible to graduate students, describing key insights succinctly but without sacrificing rigor.

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