Measuring the Growth of Skills
Working Paper 34737
DOI 10.3386/w34737
Issue Date
This paper discusses a fundamental problem in measuring the growth of knowledge and comparing the skills of people. New skills emerge that are not just more of the previously acquired skills. Psychometric convention forces these skills into arbitrarily constructed scales, which can severely distort measurement. To formally address this problem, we measure skills using a novel measurement scheme, estimate a stochastic learning process and reject the common scale assumption across levels for language and cognitive skills. Furthermore, we estimate dynamic complementarity without imposing arbitrary scales for skills.
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Copy CitationJames J. Heckman, Haihan Tian, Jin Zhou, and Zijian Zhang, "Measuring the Growth of Skills," NBER Working Paper 34737 (2026), https://doi.org/10.3386/w34737.Download Citation
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