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An Improved Method for Estimating School-Level Characteristics from Census Data. EdWorkingPaper No. 23-804

Authors :
Annenberg Institute for School Reform at Brown University
Hashim, Shirin A.
Kelley-Kemple, Thomas
Laski, Mary E.
Source :
Annenberg Institute for School Reform at Brown University. 2023.
Publication Year :
2023

Abstract

We propose a new method for estimating school-level characteristics from publicly available census data. We use a school's location to impute its catchment area by aggregating the nearest "n" census block groups such that the number of school-aged children in those "n" block groups is just over the number of students enrolled in that school. We then weight census data by the number of school-aged children in the block-group to estimate school-level measures. We conduct several robustness checks to assess the quality of our estimates and find that our method is broadly successful in replicating known school-level characteristics and producing unbiased estimates for school-level income. This method expands the available set of school-level variables to the broader and richer set of characteristics measured in the census, which can then be used to conduct descriptive and observational research across a long time horizon.

Details

Language :
English
Database :
ERIC
Journal :
Annenberg Institute for School Reform at Brown University
Publication Type :
Report
Accession number :
ED629232
Document Type :
Reports - Research