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Estimating effects of school quality using multiple proxies

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  • Bernal, Pedro
  • Mittag, Nikolas
  • Qureshi, Javaeria A.

Abstract

The recent literature on school quality has shown that the school a child attends has significant effects on achievement. However, the literature relating different school characteristics to student achievement has produced mixed results, particularly when using student-level data. Using data from the ECLS-K and a proxy variable model that addresses the problem of measuring school quality, we show that significant effects of teaching and resource quality can be detected from student-level data. We find a significant, positive relationship between school quality and student achievement if school characteristics such as class size and teachers' schooling are treated as noisy measures of school quality. However, this effect is not detected when using models which do not account for measurement error in school quality. Our results suggest that conventional approaches underestimate the effect of school quality by about 50%.

Suggested Citation

  • Bernal, Pedro & Mittag, Nikolas & Qureshi, Javaeria A., 2016. "Estimating effects of school quality using multiple proxies," Labour Economics, Elsevier, vol. 39(C), pages 1-10.
    • Handle: RePEc:eee:labeco:v:39:y:2016:i:c:p:1-10
    DOI: 10.1016/j.labeco.2016.01.005
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    More about this item

    Keywords

    School quality; Education; Skill formation; Proxy variables; Measurement error;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I20 - Health, Education, and Welfare - - Education - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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