Data and Code for: Using Models to Persuade
- Schwartzstein, Joshua (Harvard Business School)
- Sunderam, Adi (Harvard Business School)
AbstractWe present a framework where “model persuaders” influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model persuaders face a tradeoff: better-fitting models induce less movement in receivers’ beliefs. Consequently, a receiver exposed to the true model can be most misled by persuasion when that model fits poorly, competition between persuaders tends to neutralize the data by pushing towards better-fitting models, and a persuader facing multiple receivers is more effective when he can send tailored, private messages.
1949-01-01 / 2018-12-31Time Period: Sat Jan 01 00:00:00 EST 1949--Mon Dec 31 00:00:00 EST 2018 (Good to Great)
2019-01-08 / 2019-01-28Time Period: Tue Jan 08 00:00:00 EST 2019--Mon Jan 28 00:00:00 EST 2019 (Technical Analysis)
Schwartzstein, Joshua, and Adi Sunderam. “Using Models to Persuade.” American Economic Review, n.d.
Update Metadata: 2020-12-17 | Issue Number: 1 | Registration Date: 2020-12-17