Structural Econometric Modeling in Industrial Organization and Quantitative Marketing: Theory and Applications

(Hardback)

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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 models parameters from real-world data. Structural econometric modeling enables better economic theorybased 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.

Concise overview of the most widely used structural econometric models
Rigorous and systematic treatment of the topics, emphasizing key insights
Coverage of demand estimation, estimation of static and dynamic game theoretic models, consumer search, and auctions
Focus on econometric models while providing concise reviews of relevant theoretical models

Author Bio

Ali Hortasu is the Ralph and Mary Otis Isham Professor of Economics at the University of Chicago. He coedited volumes 4 and 5 of the Handbook of Industrial Organization and has served as coeditor of the Journal of Political Economy, RAND Journal of Economics, and the International Journal of Industrial Organization. Joonhwi Joo is an assistant professor of marketing at the University of Texas at Dallas Naveen Jindal School of Management.