Changing Producers' Risk Attitudes

Last registered on May 13, 2021


Trial Information

General Information

Changing Producers' Risk Attitudes
Initial registration date
December 18, 2020

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
December 21, 2020, 11:26 AM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
May 13, 2021, 9:00 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.



Primary Investigator

Texas A&M University

Other Primary Investigator(s)

PI Affiliation
Johns Hopkins University

Additional Trial Information

On going
Start date
End date
Secondary IDs
We explore the prevalence of risk attitude reversals for experienced producers. Prior literature has identified a discrepancy in risk attitudes between comparing and pricing lotteries. Specifically, on average, individuals appear to be more risk-neutral when pricing lotteries and risk-averse when comparing lotteries. Our study elicits certainty equivalents and probability equivalent using choice lists--a pricing and a comparing task. To explore the generalizability of this discrepancy of risk attitudes across contexts, we study experts' behavior and choices with substantial incentives. 
External Link(s)

Registration Citation

Feldman, Paul and Paul Ferraro. 2021. "Changing Producers' Risk Attitudes." AEA RCT Registry. May 13.
Sponsors & Partners

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Experimental Details


Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
Risk attitudes as measured by risk premia.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Incentivized choice lists and survey questions.
Experimental Design Details
Not available
Randomization Method
Randomization in office by computer.
Randomization Unit
Subject level.
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
students and producers
Sample size: planned number of observations
120 students and 400 producers
Sample size (or number of clusters) by treatment arms
Treatment is randomized at the subject level. Roughly half of our subjects will be assigned to one of two different choice list orderings.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Institutional Review Boards (IRBs)

IRB Name
Homewood Institutional Review Board
IRB Approval Date
IRB Approval Number
Analysis Plan

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