Separation of in-group conformity, out-group differentiation and social learning (Experiment 3)

Last registered on September 04, 2023

Pre-Trial

Trial Information

General Information

Title
Separation of in-group conformity, out-group differentiation and social learning (Experiment 3)
RCT ID
AEARCTR-0011993
Initial registration date
August 26, 2023

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
September 04, 2023, 6:11 AM EDT

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

Locations

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Primary Investigator

Affiliation
Hebrew University of Jerusalem

Other Primary Investigator(s)

PI Affiliation
Hebrew University of Jerusalem and King's College London

Additional Trial Information

Status
In development
Start date
2023-08-21
End date
2024-06-30
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
This experiment aims to cleanly distinguish three channels of social influence: (1) conformity to in-group norms, (2) differentiation from out-group norms, and (3) social learning. It will examine the relative importance of the three channels under different settings, and use that distinction to help clarify how norms change. To this end, Indian participants (primarily from Uttar Pradesh) and Pakistani participants will be recruited from large Internet panels. Participants will be asked to privately make a series of binary choices. One set of choices will involve choosing one stock from a given pair, where the participant’s payoff depends on the subsequent performance of the stocks. Stakes will be substantial, on the order of a daily wage, and will vary across participants. Participants will also be asked for their opinions on a variety of social and economic issues.

Pairs of stocks will be of three types: (i) Neutral stocks: pairs where both stocks are of firms based in the USA. (ii) National stocks, same country: pairs where both stocks are of firms based in one of the two surveyed countries, either India or Pakistan, and where company names clearly indicate that they are based in that specific country. Thus, nationality is made more salient, and in addition, participants from the relevant companies’ country are likely to be perceived as having more stock-related knowledge. (iii) National stocks, different countries: pairs where one stock is of a firm based in India, and the other stock is of a firm based in Pakistan. This will allow testing for home (ingroup) bias in stock picking, and examine how this bias interacts with ingroup conformity, outgroup differentiation and learning.

To allow social learning, choice items will ideally involve some uncertainty about their intrinsic value. Items will be selected based on preliminary surveys in both countries, and to the extent possible will be chosen to reduce preexisting cross-country differences in dispositions, and beliefs about group norms. In addition, some items will be selected from the World Values Survey (WVS), based on surveys already conducted in India and Pakistan. Items will be chosen to reduce as much as possible preexisting cross-country differences in dispositions and group norms.

Survey participants will be randomly assigned to either receive or not receive information about the choices of previous participants. Those who receive social information will be matched with a random sample from each nationality group participating in the preliminary surveys (or, as appropriate, the WVS). Before making each choice, they will be informed of the descriptive norms prevailing in the samples of nationality groups assigned to them. Comparing the choices of survey participants observing different (or no) combinations of in-group and out-group norms, will allow us to disentangle the three channels of social influence.

To reduce potential experimenter demand effects, participants will not be told that this is a study about group norms or group behavior, and will not be asked about their attachment to the groups prior to making their choices. They will only be informed that this is part of an international study, that they will be given information on choices made by participants in studies that were already conducted in two countries, and that they would be informed about where these previous studies were conducted.

To help understand the importance of financial stakes for following behavior, we will vary the stakes in the stock choices across participants.

To help understand the effect of the above three channels even on central, and possibly deeply-held, views and opinions, we will include in this study questions from the WVS. Unlike policies chosen from our own preliminary survey, the perceptions of social norms in these matters will not be tightly controlled by the experimenter, and may not be significantly affected by the social information we provide. Participants may also be less uncertain about their views on such matters, and hence less likely to rely on the information we provide. Nonetheless, it is of interest to study whether any of the above three channels can be detected using our methodology even for such issues.
External Link(s)

Registration Citation

Citation
Dekel, Inbal and Moses Shayo. 2023. "Separation of in-group conformity, out-group differentiation and social learning (Experiment 3)." AEA RCT Registry. September 04. https://doi.org/10.1257/rct.11993-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-08-28
Intervention End Date
2024-03-31

Primary Outcomes

Primary Outcomes (end points)
Investment choices between pairs of stocks, and opinions on various social and economic issues.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Indian participants (primarily from Uttar Pradesh) and Pakistani participants will be recruited from large Internet panels. Participants will be asked to privately make a series of binary choices. In particular, they will be asked to choose stocks from given pairs, potentially earning a substantial bonus on the order of a day’s wage. Specifically, if the stock they choose from a randomly selected pair performs better than the alternative stock during a given month after the survey (e.g., September 2023), then they will earn a prespecified bonus. Otherwise, they will earn nothing. The size of the bonus will be randomly varied across participants. In addition, participants will be asked to state their opinions on a variety of social and economic issues.

Pairs of stock will be of three types: (i) Neutral stocks: pairs where both stocks are of firms based in the USA. (ii) National stocks, same country: pairs where both stocks are of firms based in one of the two surveyed countries, either India or Pakistan, and where company names clearly indicate that they are based in that specific country. Thus, nationality is made more salient, and in addition participants from the relevant companies’ country are likely to be perceived as having more stock-related knowledge. (iii) National stocks, different countries: pairs where one stock is of a firm based in India, and the other stock is of a firm based in Pakistan. This will allow testing for home (ingroup) bias in stock picking, and examine how this bias interacts with ingroup conformity, outgroup differentiation and learning.

Policy choices will concern domestic financial and economic issues, in line with the study being about economic behavior. They will involve issues that are relatively less central in public discussion, and where participants are likely to be uncertain about the intrinsic values of the decisions (to allow social learning), and are unlikely to have strong preexisting familiarity with relevant group norms.

To allow social learning, choice items will ideally involve some uncertainty about their intrinsic value. Items will be selected based on preliminary surveys in both countries, and to the extent possible will be chosen to reduce preexisting cross-country differences in dispositions, and beliefs about group norms.

Other questions on social and economic matters will be selected from Wave 6 of the WVS, which was fielded in both India and Pakistan (Wave 7 was not fielded in India). Items will be chosen to reduce preexisting cross-country differences in opinions and norms. However, unlike the above policy choices, these questions will involve major, and possibly deeply-held, views and opinions. The perceptions of social norms in these matters will not be tightly controlled by the experimenter, and may not be significantly affected by the social information we provide. For example, one question asks about agreement with the statement “If a woman earns more money than her husband, it's almost certain to cause problems”. Many participants plausibly have preexisting views about this question, as well as about the prevailing views in society, and may not be much affected by the social information provided within the survey. Furthermore, there is likely to be less uncertainly about the intrinsic value of different responses. For example, one question asks: “To what degree are you worried about not being able to give your children a good education?” Here, people may have a clear answer regardless of what other people think. Nonetheless, we include the WVS questions as we believe it is of interest to study whether any of our three channels of social influence can be detected even when it comes to such issues.

Survey participants will be randomly assigned to receive or not receive social information. Those who receive social information will be matched with a random sample of each nationality group participating in the preliminary surveys (either our own survey or the WVS, as appropriate). Before making each choice, they will be informed of the descriptive norms prevailing in the samples of nationality groups assigned to them. The information about norms will include a description of the distribution of choices in the sample of each social group (e.g., a% of Group A chose option x, and (1-a)% of Group A chose option y; b% of Group B chose option x, and (1-b)% of Group B chose option y), alongside a graphic illustration of the distribution. Since the samples are independently drawn for each participant, this will generate variation in the patterns of choices they observe by their ingroup and by their outgroup. Qualitatively, there should be four main social-information conditions (in addition to the no-social-information condition), where participants will discover that a majority or minority of their in-group, and a majority or minority of their out-group chose a particular option, leading to a 2 (in-group majority, in-group minority) X 2 (out-group majority, out-group minority) + 1 (no social information) design.

To create the distribution of choices for the different social-information conditions, while avoiding deception, each survey participant in the social-information conditions will be matched with an odd-sized small sample from each nationality group participating in the relevant preliminary survey already conducted (either by us or as part of the WVS). The choice items presented to survey participants will be those for which the distributions of choices in the preliminary surveys are closest to uniform. Due to this procedure, we may not have enough identifying variation for some choice items. In particular, strong home bias in the choices across national stocks from different countries (Indian vs. Pakistani stock, type iii), will mean that we will not have much variation in observed choices within each nationality.

Comparing the choices of survey participants who observe different combinations of in-group and out-group norms (or receive no social information), and who have different levels of social identification, will allow us to disentangle the three main channels of social influence. In particular, under uncertainty about the options’ intrinsic values, social learning implies a positive effect of both observed ingroup and outgroup behavior. Furthermore, in the absence of social identity effects or differential group expertise and intrinsic preferences, this effect should be similar in size for both groups. In the presence of social identity effects, conformity implies positive effects of observed ingroup behavior, while differentiation implies negative effects of observed outgroup behavior. Importantly, whereas social learning does not hinge on social identification, conformity and differentiation do. Hence, for strong social identifiers, we expect the last two effects to be more prominent.

The inclusion of choices involving national stocks from different countries (type iii) will allow us to explore home bias in financial decisions and its interaction with the above three channels of social influence. The inclusion of choices involving national stocks from the same country (type ii) neutralizes the home bias channel, and allows us to explore the existence of potential saliency effects, leading to a general increase in ingroup following behavior (compared to type i choices) against learning effects due to perceived expertise, whereby participants follow Indians in the choice between Indian stocks, and follow Pakistanis in Pakistani stocks, regardless of their own national affiliation.

This discussion shows how the experimental design allows us to separate different theoretical channels. We will analyze the results using a regression framework where we examine how individual choices are affected by the observed descriptive norms of the ingroup and the outgroup, that is, the proportion in each group making a particular choice. Crucially, we will separate the effects by the extent of group identification, measured by our survey items.

After choices are made, one of the stock pairs will be randomly selected for each participant. If the price of the chosen stock in that pair increases more or falls less than the price of the other stock during a given month after the survey (e.g., September 2023), then the participant will receive a bonus payment, whose size will be randomly varied between participants. The different sizes of bonuses will allow us to explore whether the importance of conformity and differentiation is mitigated in higher-stakes decisions.

Each participant will also be asked to complete a brief survey, which will include questions about their reasoning during the experiment, subjective and objective measures of financial sophistication, psychological questionnaires on identity, demographics, and feedback to the researchers. We are interested in also exploring differences in in-group conformity, out-group differentiation and social learning by the size of the stakes, attitudes, frequency of watching cricket, and demographics.
Experimental Design Details
Not available
Randomization Method
The randomization will be done on oTree, a software for online experiments where the experiment is programmed.
Randomization Unit
Individual participant
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
We aim at roughly 1,000 participants, subject to the research budget constraints.
Sample size (or number of clusters) by treatment arms
We aim at 900 participants in the social information condition (with different combinations of in-group and out-group norms depending on the random sampling) and 100 without social information.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Faculty of Social Sciences Ethics Committee, Hebrew University of Jerusalem
IRB Approval Date
2021-08-05
IRB Approval Number
2021-08051
IRB Name
Faculty of Social Sciences Ethics Committee, Hebrew University of Jerusalem
IRB Approval Date
2023-08-09
IRB Approval Number
2023-09081
IRB Name
Research Ethics Office, King's College London
IRB Approval Date
2021-12-23
IRB Approval Number
MRA-21/22-28311
IRB Name
Research Ethics Office, King's College London
IRB Approval Date
2023-08-10
IRB Approval Number
MRM-23/24-28311
Analysis Plan

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