Data and Code for: Correlation Neglect in Student-to-School Matching
Principal Investigator(s): View help for Principal Investigator(s) Alex Rees-Jones, University of Pennsylvania; Ran Shorrer, Pennsylvania State University; Chloe Tergiman, Pennsylvania State University
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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CorrelationNeglectReplicationPacket | 11/10/2023 03:49:PM |
Project Citation:
Rees-Jones, Alex, Shorrer, Ran, and Tergiman, Chloe. Data and Code for: Correlation Neglect in Student-to-School Matching. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-07-10. https://doi.org/10.3886/E192088V1
Project Description
Summary:
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Data and Code to accompany the paper "Correlation Neglect in Student-to-School Matching."
Abstract: We present results from three experiments containing incentivized school-choice scenarios. In these scenarios, we vary whether schools' assessments of students are based on a common priority (inducing correlation in admissions decisions) or are based on independent assessments (eliminating correlation in admissions decisions). The quality of students' application strategies declines in the presence of correlated admissions: application strategies become substantially more aggressive and fail to include attractive ``safety'' options. We provide a battery of tests suggesting that this phenomenon is at least partially driven by correlation neglect, and we discuss implications for the design and deployment of student-to-school matching mechanisms.
Abstract: We present results from three experiments containing incentivized school-choice scenarios. In these scenarios, we vary whether schools' assessments of students are based on a common priority (inducing correlation in admissions decisions) or are based on independent assessments (eliminating correlation in admissions decisions). The quality of students' application strategies declines in the presence of correlated admissions: application strategies become substantially more aggressive and fail to include attractive ``safety'' options. We provide a battery of tests suggesting that this phenomenon is at least partially driven by correlation neglect, and we discuss implications for the design and deployment of student-to-school matching mechanisms.
Funding Sources:
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Wharton Behavioral Lab (N/A);
United States-Israel Binational Science Foundation (2016015)
Scope of Project
Subject Terms:
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Matching;
correlation neglect;
Lab experiment
JEL Classification:
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C91 Design of Experiments: Laboratory, Individual
D01 Microeconomic Behavior: Underlying Principles
C91 Design of Experiments: Laboratory, Individual
D01 Microeconomic Behavior: Underlying Principles
Geographic Coverage:
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United States
Time Period(s):
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2019 – 2022
Collection Date(s):
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1/2019 – 2/2019;
12/2021 – 12/2021;
8/2022 – 8/2022
Universe:
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Experiment 1 was run among students at the Penn. State LEMA lab.
Expeirments 2 and 3 were run among adult participants on Prolific.
Expeirments 2 and 3 were run among adult participants on Prolific.
Data Type(s):
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experimental data
Methodology
Response Rate:
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Not applicable.
Sampling:
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Our experimental populations consist of individuals within either the LEMA lab subject pool or the Prolific subject pool who voluntarily responded to our postings.
Data Source:
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Responses to experiments that we build on the Qualtrics platform.
Collection Mode(s):
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on-site questionnaire;
web-based survey
Scales:
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n/a
Weights:
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No weights used.
Unit(s) of Observation:
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individuals
Geographic Unit:
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n/a
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This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.