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Massachusetts Institute of Technology

Nothing to See, Nothing to Say, and Noting How Much Three Essays on Information and Behavior

Abstract

dc:description.abstract

I present three essays that examine information flows and behavior. The first examines the effect of sequential play in Public Goods Games in cases where players move one after another but do not see each others’ moves. Even with no information flow—when there is nothing to see of others’ decisions—order of play affects contributions to the public good. The second essay considers pre-play socializing and its effects on coordination games and hold-up games. Pre-play small-talk results in better outcomes even when players talk before they know they will be playing a game—before they have anything of strategic relevance to say. The third essay presents a novel quantitative, empirical means of measuring the flow of memes through minds. Most ways of learning what other people know rely on strong commitments to what the right question to ask is. Using cloze completion tasks I outline a principled, content-agnostic method of estimating how much information from a given text is stored in a reader’s mind.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Sloan School of Management
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Cashman, Matthew
Advisor dc:contributor.advisor
  • Prelec, Drazen

Rights

dc:rights
Statement dc:rights
  • Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/152661
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/152661

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Cashman, Matthew. Nothing to See, Nothing to Say, and Noting How Much Three Essays on Information and Behavior. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/152661