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A systematic review of statistical methods for estimating an education production function

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  • Ogundari, Kolawole

Abstract

The quality of administrative or longitudinal data used in education research has always been an issue of concern since they are collected mainly for recording and reporting, rather than research. The advancement in computational techniques in statistics could help researchers navigates many of these concerns by identifying the statistical model that best fits this type of data for research. The paper provides a comprehensive review of the statistical methods important for estimating education production function to recognize this. The article also provides an extensive overview of empirical studies that used the techniques identified. We believe a systematic review of this nature provides an excellent resource for researchers and academicians in identifying critical statistical methods relevant to educational studies.

Suggested Citation

  • Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:105283
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    File URL: https://mpra.ub.uni-muenchen.de/105283/1/MPRA_paper_105283.pdf
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    1. Ogundari, Kolawole, 2023. "The effect of socioeconomic status on the student achievement gap in the United States: Race/ethnic disparities," MPRA Paper 116625, University Library of Munich, Germany.

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    More about this item

    Keywords

    Education; Production Function; Statistical Methods; Causal Analysis; Regression;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

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