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Ability, Schooling Inputs and Earnings: Evidence from the NELS

Author

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  • Ozkan Eren

    (Department of Economics, University of Nevada, Las Vegas)

Abstract

Utilizing the National Educational Longitudinal Study data, this paper examines the role of pre-market cognitive and noncognitive abilities, as well as schooling inputs, on young men's earnings. In addition to the conditional mean, we estimate the impacts over the earnings distribution using recently developed (instrumental) quantile regression techniques. Our results show that noncognitive ability is an important determinant of earnings, but the effects are not uniform across the distribution. We find noncognitive ability to be most effective for lower quantiles. Cognitive ability, on the other hand, shows a reversed pattern with more pronounced effects at the upper tail of the earnings distribution. We also find that, on average, pupil-teacher ratio is a significant determinant of earnings. However, similar to ability, the effects are not homogeneous

Suggested Citation

  • Ozkan Eren, 2009. "Ability, Schooling Inputs and Earnings: Evidence from the NELS," Working Papers 0906, University of Nevada, Las Vegas , Department of Economics, revised Aug 2009.
  • Handle: RePEc:nlv:wpaper:0906
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    File URL: http://web.unlv.edu/projects/RePEc/pdf/0906.pdf
    File Function: First version, 2008
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    Citations

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    Cited by:

    1. Ozan Bakis & Nurhan Davutyan & Haluk Levent & Sezgin Polat, 2010. "External Returns to Higher Education in Turkey," Working Papers 517, Economic Research Forum, revised 04 Jan 2010.
    2. Ozan Bakis & Nurhan Davutyan & Haluk Levent & Sezgin Polat, 2013. "Quantile Estimates For Social Returns To Education In Turkey: 2006–2009," Middle East Development Journal (MEDJ), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 1-23.
    3. Bonev, Pavlin, 2013. "Government Intervention in Postsecondary Education in Bulgaria," MPRA Paper 52669, University Library of Munich, Germany.

    More about this item

    Keywords

    Cognitive Ability; Instrumental Quantile Regression; Measurement Error; Noncognitive Ability; Pupil-Teacher Ratio;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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