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dc.contributor.advisorThesmar, David
dc.contributor.authorGreen, Brice
dc.date.accessioned2026-01-20T19:45:05Z
dc.date.available2026-01-20T19:45:05Z
dc.date.issued2025-09
dc.date.submitted2025-09-03T19:51:18.678Z
dc.identifier.urihttps://hdl.handle.net/1721.1/164556
dc.description.abstractAnalyst forecasts have been shown to reflect substantial behavioral biases and predict a number of macroeconomic phenomena. While we typically treat reported forecasts as statistical expectations, under uncertainty the reported point estimate will be sensitive to the payoff structure facing the forecaster. Using data on careers from LinkedIn, I describe the incentive structures faced by analysts, shedding light the extent to which pay and career success are tied to performance. Further, I extend a causal estimator to identify credible counterfactual forecasts and provide tentative causal evidence of the relationship between forecast errors and promotions.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleAnalyst Incentives
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentSloan School of Management
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Management Research


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