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Methods for Measuring School Effectiveness

Author

Listed:
  • Joshua Angrist
  • Peter Hull
  • Christopher R. Walters

Abstract

Many personal and policy decisions turn on perceptions of school effectiveness, defined here as the causal effect of attendance at a particular school or set of schools on student test scores and other outcomes. Widely-disseminated school ratings frameworks compare average student achievement across schools, but uncontrolled differences in means may owe more to selection bias than to causal effects. Such selection problems have motivated a wave of econometric innovation that uses elements of random and quasi-experimental variation to measure school effectiveness. This chapter reviews these empirical strategies, highlighting solved problems and open questions. Empirical examples are used throughout.

Suggested Citation

  • Joshua Angrist & Peter Hull & Christopher R. Walters, 2022. "Methods for Measuring School Effectiveness," NBER Working Papers 30803, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:30803
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    Cited by:

    1. Acosta, Miguel & Mueller, Andreas I. & Nakamura, Emi & Steinsson, Jon, 2023. "Macroeconomic Effects of UI Extensions at Short and Long Durations," CEPR Discussion Papers 18534, C.E.P.R. Discussion Papers.
    2. Loviglio, Annalisa, 2023. "School Quality beyond Test Scores: The Role of Schools in Shaping Educational Outcomes," IZA Discussion Papers 16111, Institute of Labor Economics (IZA).
    3. Amior, Michael & Stuhler, Jan, 2023. "Immigration, Monopsony and the Distribution of Firm Pay," IZA Discussion Papers 16692, Institute of Labor Economics (IZA).
    4. Bhuller, Manudeep & Sigstad, Henrik, 2024. "2SLS with multiple treatments," Journal of Econometrics, Elsevier, vol. 242(1).
    5. Jack Britton & Damon Clark & Ines Lee, 2023. "Exploiting discontinuities in secondary school attendance to evaluate value added," IFS Working Papers W23/24, Institute for Fiscal Studies.

    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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