Take Action

Home | Faculty & Research Overview | Research

Research Details

Persuading Statisticians

Abstract

A decision maker (DM) contemplates whether to take a costly action. The DM does not know the action's value and relies on data and unbiased statistical inference to estimate it. The data are Bernoulli experiments governed by the action's value. A designer, who wishes the DM to take the action, controls the size of the data, i.e., the sample size, available to the DM. We establish that in many environments the designer's optimal sample size is the largest one satisfying that either a single --- or a simple majority --- of favorable realizations would persuade the DM to take the action.

Type

Working Paper

Author(s)

Yuval Salant, Sanket Patil

Date Published

2020

Citations

Salant, Yuval, and Sanket Patil. 2020. Persuading Statisticians.

LINK
KELLOGG INSIGHT

Explore leading research and ideas

Find articles, podcast episodes, and videos that spark ideas in lifelong learners, and inspire those looking to advance in their careers.
learn more

COURSE CATALOG

Review Courses & Schedules

Access information about specific courses and their schedules by viewing the interactive course scheduler tool.
LEARN MORE

DEGREE PROGRAMS

Discover the path to your goals

Whether you choose our Full-Time, Part-Time or Executive MBA program, you’ll enjoy the same unparalleled education, exceptional faculty and distinctive culture.
learn more

Take Action