Inflation Expectations and Labor Supply

Last registered on February 10, 2026

Pre-Trial

Trial Information

General Information

Title
Inflation Expectations and Labor Supply
RCT ID
AEARCTR-0017857
Initial registration date
February 09, 2026

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
February 10, 2026, 6:51 AM EST

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

Locations

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Primary Investigator

Affiliation
Sungkyunkwan University/Tufts University

Other Primary Investigator(s)

PI Affiliation
Trinity College Dublin

Additional Trial Information

Status
On going
Start date
2022-04-01
End date
2026-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This project examines how inflation expectations affect workers' labor supply decisions and whether expectation revisions generate behavior consistent with a wage-price spiral. We conduct a randomized controlled online experiment with U.S.-based participants. Participants are randomly assigned to receive factual information about macroeconomic variables. We elicit macroeconomic expectations and labor supply preferences before and after the information treatment. Randomized information provision generates exogenous revisions in expectations, allowing identification of the causal effects of inflation-related beliefs on labor supply decisions.
External Link(s)

Registration Citation

Citation
Baek, ChaeWon and Vitaliia Yaremko. 2026. "Inflation Expectations and Labor Supply." AEA RCT Registry. February 10. https://doi.org/10.1257/rct.17857-1.0
Experimental Details

Interventions

Intervention(s)
Participants are randomly assigned to receive one of several information treatments providing recent, factual macroeconomic statistics. The information describes current or recent U.S. macroeconomic conditions, specifically: (i) Price Inflation Treatment (CPI): Participants receive information about the most recent U.S. CPI inflation rate over the past 12 months. (ii) Nominal Wage Inflation Treatment (Hourly Earnings): Participants receive information about recent growth in average hourly earnings in the U.S., (iii) Unemployment Rate Treatment: Participants receive information about the current U.S. unemployment rate., (iv) Control (Irrelevant Information): Participants receive information unrelated to labor market or inflation conditions (e.g., local air quality index or COVID-19 vaccination rates), designed to control for information exposure without affecting economic beliefs.
Intervention Start Date
2022-04-25
Intervention End Date
2022-05-20

Primary Outcomes

Primary Outcomes (end points)
Macroeconomic Expectations (Expected CPI inflation over the next 12 months, Expected nominal wage (hourly earnings) inflation over the next 12 months, Expected unemployment rate over the next 12 months), Reservation wage for a short, one-time task (single-period horizon), Reservation wage for a recurring task lasting multiple months (multi-period horizon), and desired duration of working with us in months.
Primary Outcomes (explanation)
The project compares macroeconomic expectations and labor supply preferences (reservation wages for a single- and multiple-period HITs) before and after the information treatment. We elicit reservation wages by asking the lowest reward rate at which respondents would be willing to work with us for a similar 10-min task that they were currently completing. We also ask for how many months they would be interested in working with on a monthly frequency at specified pay. These two labor supply preference variables are used as the main dependent variables.

Secondary Outcomes

Secondary Outcomes (end points)
Subjective Probability of Labor Market Transitions (from employment to a) employment with the same employer, b) different employer, c) self-employment, d) unemployment, e) out of labor force; from unemployment to a) employment b) self-employment, c) unemployment, d) out of labor force). Minimum required raise relative to current pay to switch jobs (for employed). Minimum required pay raise or cut relative to the previous pay to accept a new job (for the unemployed).
Secondary Outcomes (explanation)
The primary outcomes capture online labor supply preferences. The secondary outcomes describe offline labor supply preferences. They enable comparison of similarities and differences between labor supply responses to inflation expectations across settings.

Experimental Design

Experimental Design
This study is a randomized controlled online experiment conducted on Amazon Mechanical Turk. Participants are randomly assigned to receive information about one macroeconomic variable (price inflation, wage growth, or unemployment) or irrelevant information. The experiment measures how information-induced changes in expectations causally affect reservation wages for short- and longer-horizon online labor supply decisions as well as offline labor supply preferences. Randomized information provision serves as an instrument for generating exogenous revisions of macroeconomic expectations, allowing identification of causal effects despite expectation endogeneity.
Experimental Design Details
Not available
Randomization Method
Randomization was administered at the survey posting stage using a blocked design by posting window (defined by day and time). Specifically, we repeatedly posted batches of surveys during fixed hours on multiple days that were identical in all parts except for the ``Main Task (information treatment).''
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
4,500 individuals
Sample size: planned number of observations
4,500 individuals
Sample size (or number of clusters) by treatment arms
About 900 individuals per arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Tufts University SBER IRB
IRB Approval Date
2022-03-21
IRB Approval Number
STUDY00002463
IRB Name
Office for Protection of Human Subjects (OPHS), UC Berkeley
IRB Approval Date
2022-02-18
IRB Approval Number
2022-01-14981