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The determinants of cognitive and non-cognitive educational outcomes: empirical evidence in Spain using a Bayesian approach

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  • José Manuel Cordero
  • Manuel Muñiz
  • Cristina Polo

Abstract

This article aims to extend the literature about the role played by socio-economic and family background in educational outcomes by comparing the determinants of two different dimensions of educational output: academic achievement and non-cognitive traits. To do this, we explore the information provided by a self-report survey developed specifically for the purpose of this research. This will provide us with an innovative measure of non-cognitive performance based on particular personal traits, such as responsibility, effort, motivation and critical capacity, as well as a common measure of cognitive proficiency. We use a Bayesian approach to estimate the potential influence of multiple individual and family variables on both dimensions of educational output. From our results, we find that, despite some similarities, there are several important divergences with regard to some socio-economic variables that have been traditionally considered to be the most influential determinants of academic achievement which do not appear to have a significant impact on non-cognitive outcomes.

Suggested Citation

  • José Manuel Cordero & Manuel Muñiz & Cristina Polo, 2016. "The determinants of cognitive and non-cognitive educational outcomes: empirical evidence in Spain using a Bayesian approach," Applied Economics, Taylor & Francis Journals, vol. 48(35), pages 3355-3372, July.
  • Handle: RePEc:taf:applec:v:48:y:2016:i:35:p:3355-3372
    DOI: 10.1080/00036846.2015.1137554
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    Cited by:

    1. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    2. Aparicio, Juan & Cordero, Jose M. & Gonzalez, Martin & Lopez-Espin, Jose J., 2018. "Using non-radial DEA to assess school efficiency in a cross-country perspective: An empirical analysis of OECD countries," Omega, Elsevier, vol. 79(C), pages 9-20.
    3. María Ladrón de Guevara Rodríguez & Oscar David Marcenaro-Gutierrez & Luis Alejandro Lopez-Agudo, 2023. "On the Gender Gap of Soft-Skills: the Spanish Case," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 167-197, February.
    4. Delprato, Marcos & Antequera, Germán, 2021. "School efficiency in low and middle income countries: An analysis based on PISA for development learning survey," International Journal of Educational Development, Elsevier, vol. 80(C).
    5. Marcenaro-Gutierrez, O.D. & Lopez-Agudo, L.A. & Henriques, C.O., 2021. "Are soft skills conditioned by conflicting factors? A multiobjective programming approach to explore the trade-offs," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 18-40.

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