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Information Collection Through Strategic Agents
Marco Ottaviani (Bocconi University)
Calvin Lab Auditorium
Modern statistics, building on decision theory, does not explicitly take into account incentive problems and strategic behavior in the collection and analysis of data. In this talk I overview recent game-theoretic models that explicitly incorporate conflicts of interest between researchers and decision makers. I also discuss implications for the organization and regulation of data collection and analysis. The talk is largely based on the following recent papers:
Strategic Sample Selection with A. Di Tillio and P.N. Sorensen (2021 Econometrica),
Research and Approval Process: The Organization of Persuasion with E. Henry (2019, American Economic Review), and
P-Hacking in Clinical Trials and How Incentives Shape the Distribution of Results across Phases with J. Adda and C. Decker (2000 PNAS).
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