Replication data for: Do Schools Matter for High Math Achievement? Evidence from the American Mathematics Competitions

Name: Replication data for: Do Schools Matter for High Math Achievement? Evidence from the American Mathematics Competitions
Published: Wed Jun 01 00:00:00 EDT 2016
License: This work is licensed under an Other license created by the data depositor. Please refer to the LICENSE file, which should be located alongside the project data and documentation.
Keywords: Semiparametric count data model

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dataset_programs_readme			10/19/2021 03:55:PM
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Project Citation:

Ellison, Glenn, and Swanson, Ashley. Replication data for: Do Schools Matter for High Math Achievement? Evidence from the American Mathematics Competitions. Nashville, TN: American Economic Association [publisher], 2016. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E112981V1

Project Description

Summary: This paper uses data from the American Mathematics Competitions to examine the rates at which different high schools produce high-achieving math students. There are large differences in the frequency with which students from seemingly similar schools reach high achievement levels. The distribution of unexplained school effects includes a thick tail of schools that produce many more high-achieving students than is typical. Several additional analyses suggest that the differences are not primarily due to unobserved differences in student characteristics. The differences are persistent across time, suggesting that differences in the effectiveness of educational programs are not primarily due to direct peer effects.

Scope of Project

Subject Terms: Semiparametric count data model

JEL Classification:
      H75 State and Local Government: Health; Education; Welfare; Public Pensions
      I21 Analysis of Education
      I24 Education and Inequality
      I28 Education: Government Policy
      R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics

Geographic Coverage: United States

Time Period(s): 2007 – 2007

Universe: Public, coed, nonmagnet, noncharter US high schools that administer the American Mathematics Competitions "AMC 12" contest and that could be matched to other data from the census, National Center for Education Statistics, College Board, and ACT

Data Type(s): administrative records data

Methodology

Data Source: Mathematical Association of America

Unit(s) of Observation: Schools,

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V1 [2019-10-12]

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