Data and Code for: Aggregate and Intergenerational Implications of School Closures: A Quantitative Assessment
Principal Investigator(s): View help for Principal Investigator(s) Youngsoo Jang, University of Queensland; Minchul Yum, University of Southampton
Version: View help for Version V1
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Data | 06/19/2023 02:45:AM | ||
SteadyState | 06/19/2023 02:45:AM | ||
Transition | 06/19/2023 02:45:AM | ||
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application/pdf | 90.6 KB | 01/03/2024 10:13:PM |
Project Citation:
Jang, Youngsoo, and Yum, Minchul. Data and Code for: Aggregate and Intergenerational Implications of School Closures: A Quantitative Assessment. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-06-17. https://doi.org/10.3886/E192261V1
Project Description
Summary:
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Replication programs for “Aggregate and
Intergenerational Implications of School Closures: A Quantitative Assessment” AEJ: Macroeconomics
Funding Sources:
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Deutsche Forschungsgemeinschaft (Germany) (CRC TR 224);
Shanghai Municipal Education Commission (Gaofeng Chuangxin Project Grant)
Scope of Project
JEL Classification:
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E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
I24 Education and Inequality
J22 Time Allocation and Labor Supply
E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
I24 Education and Inequality
J22 Time Allocation and Labor Supply
Geographic Coverage:
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United States
Data Type(s):
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aggregate data;
program source code
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