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The Production of Cognitive and Non-cognitive Human Capital in the Global Economy

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  • Chong Xiang
  • Stephen Yeaple

Abstract

A country’s welfare depends on its ability to accumulate cognitive and non-cognitive human capital. In this paper, we model the productions of cognitive and non-cognitive human capital in general equilibrium. We use revealed comparative advantage to infer countries’ non-cognitive and cognitive productivities without a direct measure for the non-cognitive dimension. Our model also delivers analytical expressions for how non- cognitive and cognitive productivities can be aggregated into a single human-capital quality index, or HCQI, and how HCQI relates to output per worker. Our model allows us to obtain the values of non-cognitive and cognitive productivities and HCQI, using publically available data for a sample of mostly high-income countries. We find that: 1. many countries with low test scores have high non-cognitive productivities; 2. the hard-to-measure non-cognitive human capital is important for HCQI, and HCQI is important for output per worker; 3. the trade-o¤ between cognitive- and non-cognitive productivities can be visualized and analyzed using an iso-HCQI curve: e.g. uneven cognitive and non-cognitive productivities tend to lower HCQI; 4. this trade-o¤ can be quantified, and has policy implications: e.g. excessive attention to test scores may decrease aggregate output; 5. international trade matters, theoretically, for HCQI, because the gains from trade help to compensate a country for uneven productivity across human capital types: e.g. the iso-HCQI curve would have a very different shape under free trade.

Suggested Citation

  • Chong Xiang & Stephen Yeaple, 2018. "The Production of Cognitive and Non-cognitive Human Capital in the Global Economy," NBER Working Papers 24524, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:24524
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    References listed on IDEAS

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    1. Liu, Runjuan & Trefler, Daniel, 2019. "A sorted tale of globalization: White collar jobs and the rise of service offshoring," Journal of International Economics, Elsevier, vol. 118(C), pages 105-122.
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    Cited by:

    1. Campbell, Susanna G. & Üngör, Murat, 2020. "Revisiting human capital and aggregate income differences," Economic Modelling, Elsevier, vol. 91(C), pages 43-64.
    2. Zhang, Yi & Kumar, Sanjay & Huang, Xianhai & Yuan, Yiming, 2023. "Human capital quality and the regional economic growth: Evidence from China," Journal of Asian Economics, Elsevier, vol. 86(C).
    3. Maksimova, Mariia, 2019. "The return to non-cognitive skills on the Russian labor market," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 53, pages 55-72.

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    More about this item

    JEL classification:

    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
    • F63 - International Economics - - Economic Impacts of Globalization - - - Economic Development
    • F66 - International Economics - - Economic Impacts of Globalization - - - Labor
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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