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

Kolawole Ogundari ()

MPRA Paper from University Library of Munich, Germany

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.

Keywords: Education; Production Function; Statistical Methods; Causal Analysis; Regression (search for similar items in EconPapers)
JEL-codes: I21 I23 I25 (search for similar items in EconPapers)
Date: 2021-01-12
New Economics Papers: this item is included in nep-edu
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:105283

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