Tristan Gagnon-Bartsch
Tristan Gagnon-Bartsch
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Working papers
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Publications
Type
Journal article
Preprint
Date
2024
2023
2022
2021
2016
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Quality is in the Eye of the Beholder: Taste Projection in Markets with Observational Learning
American Economic Review, Forthcoming
.
We study how misperceptions of others’ tastes influence beliefs, demand, and prices in a market with observational learning.
Tristan Gagnon-Bartsch
,
Antonio Rosato
PDF
Online Appendix
Inference from Biased Polls
Games and Economic Behavior, Forthcoming.
We examine whether people account for socially desirable responding (SDR) when drawing inferences from poll data.
Andy Brownback
,
Nathaniel Burke
,
Tristan Gagnon-Bartsch
PDF
Channeled Attention and Stable Errors
Revise and Resubmit at Quarterly Journal of Economics
.
We develop a framework for assessing when somebody will eventually notice that she has a misspecified model of the world, premised on the idea that she neglects information that she deems—through the lens of her misconceptions—to be irrelevant.
Tristan Gagnon-Bartsch
,
Matthew Rabin
,
Joshua Schwartzstein
PDF
Previous Version
Heterogeneous Tastes and Social (Mis)Learning
We experimentally examine how people learn from others’ actions when those people may have differing tastes.
Tristan Gagnon-Bartsch
,
Benjamin Bushong
PDF
Online Appendix
Failures in Forecasting: An Experiment on Interpersonal Projection Bias
Management Science, Forthcoming.
Using a real-effort experiment, we show that people project their current tastes onto others, even when others’ tastes are exogenously manipulated and transparently different.
Benjamin Bushong
,
Tristan Gagnon-Bartsch
PDF
Online Appendix
Reference Dependence and Attribution Bias: Evidence from Real-Effort Experiments
American Economic Journal: Microeconomics, 2023, 15(2): 271-308.
We demonstrate that people’s impressions of a real-effort task are shaped by the elation or disappointment they felt when first working on the task.
Benjamin Bushong
,
Tristan Gagnon-Bartsch
PDF
Online Appendix
Learning with Misattribution of Reference Dependence
Journal of Economic Theory, 2022, 203, 105473.
We examine errors in learning that arise when an agent who suffers attribution bias fails to account for her reference-dependent utility.
Tristan Gagnon-Bartsch
,
Benjamin Bushong
PDF
Working Version
Naive Social Learning, Mislearning, and Unlearning
We study social learning in several natural, yet under-explored, environments among people who naively think each predecessor’s action reflects solely that person’s private information.
Tristan Gagnon-Bartsch
,
Matthew Rabin
PDF
Projection of Private Values in Auctions
American Economic Review, 2021, 111(10): 3256-3298
.
We explore how taste projection—the tendency to overestimate how similar others’ tastes are to one’s own—affects bidding in auctions.
Tristan Gagnon-Bartsch
,
Marco Pagnozzi
,
Antonio Rosato
PDF
Online Appendix
Taste Projection in Models of Social Learning
This paper studies the implications of taste projection—the tendency to overestimate how similar others’ preferences are to our own—within social-learning environments.
Tristan Gagnon-Bartsch
PDF
The Person or the Situation? Projection Bias and Inference about Others
In Progress.
Using a simple experiment, we explore whether projection bias leads to errors in inferences about others’ overall productivity and personality characteristics.
Benjamin Bushong
,
Tristan Gagnon-Bartsch
,
Jeongbin Kim
Taste Projection in Bilateral Trade
In Progress.
We analyze how taste projection affects bilateral trade under asymmetric information.
Tristan Gagnon-Bartsch
,
Marco Pagnozzi
,
Antonio Rosato
Errors in Information Acquisition
In Progress.
We experimentally study how people acquire information in a sequential search problem and examine the degree to which their demand for information deviates from the rational benchmark.
Benjamin Bushong
,
Tristan Gagnon-Bartsch
Disagreement, Information, and Trade
In Progress.
We study the relationship between trade and private information in models with non-common priors, and we establish a series of results showing that trade flows in the direction of disagreements and not private information.
Erik Eyster
,
Tristan Gagnon-Bartsch
,
Matthew Rabin
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