ECON 826

Partial Identification: Theory and Applications in Industrial Organization

Duke University · UGRD · Fall 2026

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Focus on the use of partially identifying models for applications in industrial organization, investigating a mix of methodological, theoretical, econometric, and applied issues. Particular areas of application in the IO literature will comprise a selection of research employing various models of auctions, entry, matching, and demand estimation. For each area of application, we will cover both the econometric theory underlying the partial identification analysis employed, as well as the motivation for the use of the partially identifying model in empirical practice. Economics 703D and Economics 707D. Economics Ph.D. Students only; all others require consent from the instructor.

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Class #duke-ECON826Fall 2026UGRD3 credits
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