Factors Shaping Macroeconomic Expectations

Last registered on June 25, 2024

Pre-Trial

Trial Information

General Information

Title
Factors Shaping Macroeconomic Expectations
RCT ID
AEARCTR-0013773
Initial registration date
June 24, 2024

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
June 25, 2024, 2:11 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Harvard University

Other Primary Investigator(s)

PI Affiliation
University of Oxford
PI Affiliation
Bocconi University
PI Affiliation
SKEMA Business School
PI Affiliation
Harvard University
PI Affiliation
De Nederlandsche Bank

Additional Trial Information

Status
In development
Start date
2024-06-10
End date
2024-07-07
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This project aims to understand how people form beliefs about the macroeconomy, particularly developments in inflation and house prices. We propose that memories of past experiences, both relevant and potentially irrelevant, shape these beliefs. Suppose an individual is forecasting whether the inflation rate over the next twelve months will be high (i.e., above a certain threshold). We argue that the individual will rely, in part, on past experiences that have some similarity to the hypothesis they are trying to imagine (elevated levels of inflation). Our theory proposes that individuals who have personal experience with very similar things – for instance, financial struggles – will have an easier time imagining a future with higher levels of inflation, boosting their estimates of the likelihood of it occurring. We will run a controlled experiment that investigates these memory mechanisms, exploring how exogenously varying which past (similar but objectively irrelevant) experiences “come to mind” impacts beliefs about the likelihood of future macroeconomic events.
External Link(s)

Registration Citation

Citation
Lopez-de-Silanes, Florencio et al. 2024. "Factors Shaping Macroeconomic Expectations." AEA RCT Registry. June 25. https://doi.org/10.1257/rct.13773-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-06-10
Intervention End Date
2024-07-07

Primary Outcomes

Primary Outcomes (end points)
Our key outcome variables are respondents’ forecasts on inflation and changes in house prices. Namely, we have the following questions:

(i) What do you expect inflation in the Netherlands to be in the next twelve months, i.e., what will the percentage change in consumer prices be over the next twelve months?

(ii) How likely do you think inflation is to be 7% or higher a year from now? You can answer on a scale of 0 to 10, where 0 indicates that there is ‘no chance at all’ that inflation will be 7% or higher, and 10 indicates that inflation will ‘absolutely, for sure’ be 7% or higher.

(iii) What do you expect to be the percentage change in house prices in the Netherlands in the next twelve months?

(iv) How likely do you think it is that house prices will rise by 10% or more over the next twelve months? You can answer on a scale of 0 to 10, where 0 indicates that there is 'no chance at all' that house prices will rise by 10% or more and 10 indicates that house prices will 'absolutely, for sure' rise by 10% or more.

We will analyze all outcome measures independently. In addition, we will construct an index outcome for each participant by constructing a z-score for each of the two individual outcome questions and averaging them, separately for inflation and house prices.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Participants are recruited through Centerdata. They will be asked to complete a 15 minute survey.

Participants will be randomly assigned to one of three treatments:
- Health prime
- Financial struggles prime
- Control
Experimental Design Details
For individuals in the health prime, participants will be asked whether they have personal experience with a serious or chronic illness, or the consequences of a serious accident. If they do, they will answer a few short questions about the experience, prompting them to remember it. Then, they will write a few short sentences about what they recalled when thinking about the experience.

For individuals in the financial struggles prime, participants will be asked whether they have personal experience with financial difficulties. If they do, they will answer a few short questions about the experience, prompting them to remember it. Then, they will write a few short sentences about what they recalled when thinking about the experience.

Individuals in the Control treatment do not see an experience prompt of this form.

After this part of the survey, we ask participants about their inflation forecast over the next twelve months. We then also ask them how likely they deem a scenario in which inflation is high. We then ask participants to describe what they thought about when thinking about (high) inflation.

Subsequently, we ask respondents about their forecast on changes in house prices over the next twelve months. We then also ask them how likely they deem a scenario in which there is a large increase in house prices. We then ask participants to describe what they thought about when thinking about (large) changes in house prices.

Then, we ask all participants about whether they have had each of a series of negative life experiences (just yes/no), including the two possible primed experiences, and how similar they feel these experiences are to a scenario with high inflation and large increases in house prices, respectively.

Finally, we are asking participants about their perceptions of the current inflation rate and the current change in house prices.
Randomization Method
Randomization by Centerdata program
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
6000 individuals
Sample size: planned number of observations
6000 individuals
Sample size (or number of clusters) by treatment arms
2000 individuals for each treatment arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Harvard Human Research Protection Program
IRB Approval Date
2024-02-21
IRB Approval Number
IRB24-0054

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials