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Field
Trial Start Date
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Before
February 20, 2023
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After
April 04, 2023
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Field
Last Published
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Before
February 07, 2023 11:12 AM
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After
March 28, 2023 10:55 PM
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Field
Intervention (Public)
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Before
We are running a lab experiment with a setting where participants can discover how to specialize. We study if market efficiency and specialization differ between groups with different race and gender compositions. We are also interested in market size effects.
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After
We are running a lab experiment with a setting where participants can discover how to specialize. We study if market efficiency and specialization differ between groups with different race and gender compositions. We are also interested in market size effects.
Update:
We have decided to run an online experiment on mTurk and/or Prolific instead. There are two main reasons. First, a more diverse subject pool will allow us to recruit people from different ethnicities into our markets. We initially thought this is possible at the UT Dallas lab, but we anticipate limitations. Relatedly, we anticipate a larger number of treatments than initially planned. Therefore, a larger online subject pool is beneficial. Second, we believe homophily effects may occur more naturally in a general population setting rather than at the laboratory where all participants are students and are used to interacting across ethnicities.
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Field
Intervention Start Date
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Before
February 22, 2023
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After
April 05, 2023
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Field
Randomization Method
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Before
Participants of the UT Dallas LBOE lab subject pool are invited randomly using the recruitment software SONA.
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After
Participants of the UT Dallas LBOE lab subject pool are invited randomly using the recruitment software SONA.
Update: Participants are recruited via Prolific and/or mTurk.
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Field
Randomization Unit
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Before
Markets (groups of 4)
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After
Markets (groups of 4 or 8)
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Field
Planned Number of Clusters
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Before
20 markets per treatment.
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After
25-30 markets per treatment. (updated from 20 as the online environment allows us to collect more data.)
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Field
Planned Number of Observations
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Before
80-100 unique participants per treatment, 360-400 in total.
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After
100-120 unique participants per treatment, about 500 subjects.
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Field
Sample size (or number of clusters) by treatment arms
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Before
80-100 participants per treatment.
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After
100-120 participants per treatment.
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Field
Intervention (Hidden)
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Before
We have two main treatments. Markets have 4 participants and last 48 rounds. A participant's task in each round is to choose how much time to devote to producing Goods Orange and Blue. They can discover possibilities for trade and specialization to generate gains from trade. Everyone chooses an image that most closely represents them. Images differ in race and gender and are selected from the Chicago Face Database.
In the Baseline (Homogenous) condition, markets are homogenous (i.e., all males, all females, all South-Asian, all white). In the Mixed condition, markets consist of two pairs that are superficially similar within pairs and different across pairs. For example, a market has 2 white females and 2 male South Asians. Importantly, in Mixed, gains from trade are designed to be larger for cooperation between dissimilar people.
We also plan to increase the market size to 8 people to study the impact of competition and market size on specialization.
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After
We have two main treatments. Markets have 4 participants and last 35 rounds (updated from 48 initially due to moving to the online environment). A participant's task in each round is to choose how much time to devote to producing Goods Orange and Blue. They can discover possibilities for trade and specialization to generate gains from trade. Everyone chooses an image that most closely represents them. Images differ in race and gender and are selected from the Chicago Face Database.
In the Baseline (Homogenous) condition, markets are homogenous (i.e., all males, all females, all South-Asian, all white). In the Mixed condition, markets consist of two pairs that are superficially similar within pairs and different across pairs. For example, a market has 2 white females and 2 male South Asians. Importantly, in Mixed, gains from trade are designed to be larger for cooperation between dissimilar people.
We also plan to increase the market size to 8 people to study the impact of competition and market size on specialization. We further plan to manipulate the observability of people's actions, which will increase search costs and potentially amplify homophily effects.
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