Estimating In-Group Bias With Fuzzy Identities: Evidence from Regional Bias in Mexico

Last registered on March 13, 2024

Pre-Trial

Trial Information

General Information

Title
Estimating In-Group Bias With Fuzzy Identities: Evidence from Regional Bias in Mexico
RCT ID
AEARCTR-0005221
Initial registration date
January 06, 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
January 09, 2020, 4:21 PM EST

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

Last updated
March 13, 2024, 3:35 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
CIDE

Other Primary Investigator(s)

Additional Trial Information

Status
Completed
Start date
2012-10-01
End date
2012-10-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Measuring discrimination is crucial to key questions in political economy, but studies of how group members discriminate against outsiders have focused on instances where membership is sharply defined. To study common and important instances of fuzzy group membership, I propose two approaches: one based on notions of distance, and the other based on measuring subjective perceptions of group membership. Taking regions in Mexico as an example, I use survey, field experiment and administrative data to test for regional bias in donations, in short-term migration, and in long-term migration. The bias appears only if region membership is conceptualized as fuzzy. Subjective perceptions provide the most consistent regionalization for capturing regional bias, and allow for testing several mechanisms. First, national appeals and a stronger attachment to the nation diminish regional bias. Second, the way individuals draw regions exacerbates regional inequality. The novel approaches can be applied to other identities with fuzzy demarcations.
External Link(s)

Registration Citation

Citation
Fernandez Duque, Mauricio. 2024. "Estimating In-Group Bias With Fuzzy Identities: Evidence from Regional Bias in Mexico." AEA RCT Registry. March 13. https://doi.org/10.1257/rct.5221-2.0
Experimental Details

Interventions

Intervention(s)
We placed donation petition cards at supermarket cashiers in nine states in Mexico in six supermarket chains. These donation petition cards are a standard way for our NGO partner to raise revenue in supermarkets.
Intervention Start Date
2012-10-01
Intervention End Date
2012-10-31

Primary Outcomes

Primary Outcomes (end points)
Revenue from card sales.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The cards were in the cashiers between one and 31 days. The donation petitions varied on two dimensions. The first dimension varied the state where the beneficiaries lived. There were six beneficiary states. The second dimension varied whether the donation petition displayed the colors of the mexican flag on the frame of the donation petition card and on the name of the beneficiary state.
Experimental Design Details
Randomization Method
We randomized in a computer.
Randomization Unit
We blocked on state and supermarket chain. Then we formed tuples based on the Mahalanobis ditance of the state's location, past sales and the supermerket size. The size of the tuple varied since different states had a different number of types of cards, which depended on the number of supermarkets in a state Tuple size ranged from 4 to 12.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
We planned to put cards in 581 supermarkets. We clustered at the supermarket level. There were 2 types of cards in each supermarket. Although we randomized at the half-supermarket level, we randomized at the supermarket level as a conservative assumption. We ended up placing cards in only 440 supermarkets due to logistical complications. Only 330 supermarkets provided us with usable data, since some chains did not participate.
Sample size: planned number of observations
We planned for 1162 half-supermarkets, and ended up observing 660 half-supermarkets.
Sample size (or number of clusters) by treatment arms
The assignment of cards from the supermarkets we were able to obtain data from (330 supermarkets) is a follows:

76 half supermarkets had a State of Mexico beneficiary state and a prime.
77 had a State of Mexico beneficiary state and no prime.
50 had a Guerrero beneficiary state and a prime.
47 had a Guerrero beneficiary state and no pirme.
48 had a Puebla beneficiary state and a prime.
47 had a Puebla beneficiary state and a no prime.
56 had a Sinaloa beneficiary state and a prime.
55 had a Sinaloa beneficiary state and no prime.
52 had a Veracruz beneficiary state and a prime.
55 had a Veracruz beneficiary state and no prime.
46 had a Yucatán beneficiary state and a prime.
50 had a Yucatán beneficiary state and no prime.

We were interested in testing whether individuals had an in-region bias, so the treatment of interest is not the state on the card itself, but rather how far the beneficiary state was from the donor state. There were 94 half supermarkets where the beneficiary state was the donor state, 144 half supermarkets where the beneficiary state was one state away from the donor state, and 199 cards where the beneficiary state was two states away.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Harvard University Committee on the Use of Human Subjects in Research
IRB Approval Date
2012-08-02
IRB Approval Number
F22590-101

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

Description
R-Scripts
Citation
Fernandez Duque, Mauricio. 2024. "Estimating In-Group Bias With Fuzzy Identities: Evidence from Regional Bias in Mexico." AEA RCT Registry. March 13. 2024. "Registration Entry Title: R-Scripts." AEA RCT Registry. March 13 https://doi.org/10.1257/rct.5221-2.0
File
R Scripts.pdf

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Uploaded At: March 13, 2024