Replication data for: Using School Choice Lotteries to Test Measures of School Effectiveness
Principal Investigator(s): View help for Principal Investigator(s) David J. Deming
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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Deming_AERPandP_datafolder | 10/11/2019 10:24:PM | ||
LICENSE.txt | text/plain | 14.6 KB | 10/11/2019 06:24:PM |
Project Citation:
Deming, David J. Replication data for: Using School Choice Lotteries to Test Measures of School Effectiveness. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112805V1
Project Description
Summary:
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Value-added models (VAMs) are increasingly used to measure school effectiveness. Yet, random variation in school attendance is necessary to test the validity of VAMs and to guide the selection of models for measuring causal effects of schools. In this paper, I use random assignment from a public school choice lottery to test the predictive power of VAM specifications. In VAMs with minimal controls and two or more years of prior data, I fail to reject the hypothesis that school effects are unbiased. Overall, many commonly used VAMs are accurate predictors of student achievement gains.
Scope of Project
JEL Classification:
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H75 State and Local Government: Health; Education; Welfare; Public Pensions
I21 Analysis of Education
I28 Education: Government Policy
H75 State and Local Government: Health; Education; Welfare; Public Pensions
I21 Analysis of Education
I28 Education: Government Policy
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