Code for: Attendance Boundary Policies and the Limits to Combating School Segregation
Principal Investigator(s): View help for Principal Investigator(s) Andreas Bjerre-Nielsen, University of Copenhagen; Mikkel Høst Gandil, University of Oslo
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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replication_package_raw | 12/13/2023 04:33:AM |
Project Citation:
Bjerre-Nielsen, Andreas, and Høst Gandil, Mikkel. Code for: Attendance Boundary Policies and the Limits to Combating School Segregation. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-01-19. https://doi.org/10.3886/E189723V1
Project Description
Summary:
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This is the code for the project "Attendance Boundary Policies and the Limits to Combating School Segregation". The data were analyzed at Statistics Denmark and are thus not possible to provide access to.
Paper abstract: What is the efficacy of redrawing school attendance boundaries as a desegregation policy? To provide causal evidence on this question we employ novel data with unprecedented detail on the universe of Danish children and exploit changes in attendance boundaries over time. Households defy reassignments to schools with lower socioeconomic status. There is a strong social gradient in defiance, as resourceful households are more sensitive to the student composition of new schools. We simulate school assignment policies and find that boundary changes that reassign areas to a highly disadvantaged school are ineffective at altering the socioeconomic composition at the disadvantaged school.
Funding Sources:
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The Norwegian Research Council (275906);
Danish Economic Council of the Labour Movement;
The Danish Innovation Fund;
Independent Research Foundation Denmark (3099-00139B)
Scope of Project
JEL Classification:
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H75 State and Local Government: Health; Education; Welfare; Public Pensions
I21 Analysis of Education
I24 Education and Inequality
J18 Demographic Economics: Public Policy
R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
H75 State and Local Government: Health; Education; Welfare; Public Pensions
I21 Analysis of Education
I24 Education and Inequality
J18 Demographic Economics: Public Policy
R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
Geographic Coverage:
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Denmark
Time Period(s):
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2008 – 2015 (Years 2008-15)
Collection Date(s):
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2016 – 2017
Universe:
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The universe of children at school start age (6). For certain measures the entire Danish population was used for the years 2008-15.
Data Type(s):
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administrative records data;
geographic information system (GIS) data
Methodology
Unit(s) of Observation:
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Enrolment of children and their families.
Geographic Unit:
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School attendance zones and micro-neighborhoods
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