Data and Code for: Long-term Contextual Effects in Education: Schools and Neighborhoods
Principal Investigator(s): View help for Principal Investigator(s) Jean-William Laliberté, University of Calgary
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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CODES | 04/13/2020 02:09:PM | ||
NHGIS-data | 05/20/2020 02:09:PM | ||
_ ArchiveAgreement.pdf | application/pdf | 131.2 KB | 04/13/2020 10:24:AM |
read me.pdf | application/pdf | 178.3 KB | 05/20/2020 10:11:AM |
Project Citation:
Laliberté, Jean-William. Data and Code for: Long-term Contextual Effects in Education: Schools and Neighborhoods. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-04-07. https://doi.org/10.3886/E118906V1
Project Description
Summary:
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This paper estimates the long-term impact of growing up in better neighborhoods and attending better schools on educational attainment. First, I use a spatial regression-discontinuity design to estimate school effects. Second, I study students who move across neighborhoods in Montreal during childhood to estimate the causal effect of growing up in a better area (total exposure effects). I find large effects for both dimensions. Combining both research designs in a decomposition framework, and under key assumptions, I estimate that 50%-70% of the benefits of moving to a better area on educational attainment are due to access to better schools.
Scope of Project
Subject Terms:
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neighborhood effects;
school effects;
post-secondary education
JEL Classification:
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I24 Education and Inequality
J24 Human Capital; Skills; Occupational Choice; Labor Productivity
R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
I24 Education and Inequality
J24 Human Capital; Skills; Occupational Choice; Labor Productivity
R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
Geographic Coverage:
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Montreal
Time Period(s):
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1/1/1995 – 1/1/2015
Data Type(s):
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program source code
Methodology
Data Source:
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Administrative student-level records.
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