Data and Code for "School Boards and Education Production: Evidence from Randomized Ballot Order"
Principal Investigator(s): View help for Principal Investigator(s) Ying Shi, Syracuse University; John Singleton, University of Rochester
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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ado | 12/14/2021 09:28:AM | ||
code | 12/17/2021 11:41:AM | ||
data | 12/14/2021 10:15:AM | ||
results | 12/14/2021 09:28:AM | ||
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application/pdf | 70.8 KB | 12/17/2021 10:26:AM |
Project Citation:
Shi, Ying, and Singleton, John. Data and Code for “School Boards and Education Production: Evidence from Randomized Ballot Order.” Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-01-26. https://doi.org/10.3886/E157261V1
Project Description
Summary:
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We examine the causal influence of educators elected to the school board on local education production. The key empirical challenge is that school board composition is endogenously determined through the electoral process. To overcome this, we develop a novel research design that leverages California's randomized assignment of the order that candidate names appear on election ballots. We find that an additional educator elected to the school board reduces charter schooling and increases teacher salaries in the school district relative to other board members. We interpret these findings as consistent with educator board members shifting bargaining in favor of teachers' unions.
Scope of Project
Subject Terms:
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school boards;
education production;
teachers unions;
ballot order
JEL Classification:
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D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
H42 Publicly Provided Private Goods
H75 State and Local Government: Health; Education; Welfare; Public Pensions
I21 Analysis of Education
D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
H42 Publicly Provided Private Goods
H75 State and Local Government: Health; Education; Welfare; Public Pensions
I21 Analysis of Education
Geographic Coverage:
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California
Time Period(s):
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1996 – 2018
Collection Date(s):
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2014 – 2020
Universe:
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Local school boards
Data Type(s):
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administrative records data;
observational data
Methodology
Sampling:
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Schools boards in California with contested elections for seats over time.
Data Source:
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Numerous publicly-available education records from California as well as election and ballot order information. Please see paper for full details and citations.
Unit(s) of Observation:
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School boards (distinct school district-election year combinations)
Geographic Unit:
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School-grade-years
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