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来源类型Working Paper
规范类型报告
DOI10.3386/w26109
来源IDWorking Paper 26109
Using Models to Persuade
Joshua Schwartzstein; Adi Sunderam
发表日期2019-07-29
出版年2019
语种英语
摘要We present a framework for analyzing “model persuasion.” Persuaders influence receivers’ beliefs by proposing models (likelihood functions) that specify how to organize past data (e.g., on investment performance) to make predictions (e.g., about future returns). Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs over states of the world. Model persuaders face a key tradeoff: models that better fit the data given receivers’ prior beliefs induce less movement in receivers’ beliefs. This tradeoff means that a receiver exposed to the true model can be most misled by persuasion when that model fits poorly—for instance when there is a lot of data that exhibits randomness. In such cases, a wrong model often wins because it provides a better fit. Similarly, competition between persuaders tends to neutralize the data because it pushes towards models that provide overly good fits and therefore do not move receivers’ beliefs much. The fit-movement tradeoff depends on receiver characteristics, so with multiple receivers a persuader is more effective when he can send tailored, private messages. We illustrate with examples from finance, business, politics, and law.
主题Financial Economics ; Portfolio Selection and Asset Pricing ; Behavioral Finance ; Industrial Organization ; Market Structure and Firm Performance ; Other ; Accounting, Marketing, and Personnel
URLhttps://www.nber.org/papers/w26109
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/583782
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GB/T 7714
Joshua Schwartzstein,Adi Sunderam. Using Models to Persuade. 2019.
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