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Related Experiment Videos

Earnings, education, genetics, and environment

P Taubman

    The Journal of Human Resources
    |January 1, 1976
    PubMed
    Summary
    This summary is machine-generated.

    Estimating education

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    Area of Science:

    • Economics
    • Sociology
    • Behavioral Genetics

    Background:

    • Education's impact on earnings is difficult to estimate due to unobserved ability.
    • Higher education often correlates with higher innate ability, confounding earnings analysis.
    • Ordinary least squares (OLS) methods can produce biased results without controlling for ability.

    Purpose of the Study:

    • To accurately estimate the causal effect of education on earnings.
    • To control for confounding factors like genetic endowments and family environment.
    • To quantify the bias introduced by unobserved ability in earnings estimations.

    Main Methods:

    • Utilized data from identical twins to control for shared genetics and upbringing.
    • Employed econometric techniques to isolate the effect of education.

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  • Compared results with and without controlling for twin-specific ability factors.

    • Main Results:

    • Uncontrolled ability (genetics and environment) introduces significant bias in education-earnings studies.
    • Failure to account for these factors can inflate the estimated return to education by up to two-thirds.
    • Twin study methodology effectively isolates the true impact of education on earnings.

    Conclusions:

    • Controlling for genetic and environmental factors is crucial for unbiased estimation of education's return.
    • Twin studies provide a robust framework for understanding the true economic returns to education.
    • Policy implications for educational investment require accurate assessment of these returns.