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The Knowledge Trap: Human Capital and Development Reconsidered

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  • Benjamin F. Jones

Abstract

This paper presents a model where human capital differences - rather than technology differences - can explain several central phenomena in the world economy. The results follow from the educational choices of workers, who decide not just how long to train, but also how broadly. A "knowledge trap" occurs in economies where skilled workers favor broad but shallow knowledge. This simple idea can inform cross-country income differences, international trade patterns, poverty traps, and price and wage differences across countries in a manner broadly consistent with existing empirical evidence. The model also provides insights about the brain drain, migration, and the role for multinationals in development. More generally, this paper shows that standard human capital accounting methods can severely underestimate the role of education in development. It shows how endogenous educational decisions can replace exogenous technology differences in a range of economic reasoning.

Suggested Citation

  • Benjamin F. Jones, 2008. "The Knowledge Trap: Human Capital and Development Reconsidered," NBER Working Papers 14138, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:14138
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    Cited by:

    1. Kristina Sisyuk, 2018. "Training, knowledge, competence, performance: what is the relationship?," Journal of Administrative and Business Studies, Professor Dr. Usman Raja, vol. 4(6), pages 297-312.
    2. Carolina Arteaga Cabrales, 2011. "Human Capital Externalities and Growth," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 29(66), pages 12-47, December.
    3. Malgorzata Wachowska, 2014. "Excessive Accumulation Of Knowledge As A Challenge To Science Policy," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 9(3), pages 29-40, September.
    4. Timothy Simcoe, 2015. "Modularity and the Evolution of the Internet," NBER Chapters, in: Economic Analysis of the Digital Economy, pages 21-47, National Bureau of Economic Research, Inc.
    5. Cuntz, Alexander & Czernich, Nina & Dauchert, Helge & Meurer, Petra & Philipps, Annika, 2015. "Gesellschaftliche Dimensionen von Innovation: Zentrale Fragen und Datenlage," Studien zum deutschen Innovationssystem 18-2015, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    6. Uhlbach, Wolf-Hendrik & Tartari, Valentina & Kongsted, Hans Christian, 2022. "Beyond scientific excellence: International mobility and the entrepreneurial activities of academic scientists," Research Policy, Elsevier, vol. 51(1).
    7. Mohammadi, Ali & Broström, Anders & Franzoni, Chiara, 2015. "Work Force Composition and Innovation: How Diversity in Employees’ Ethnical and Disciplinary Backgrounds Facilitates Knowledge Re-combination," Working Paper Series in Economics and Institutions of Innovation 413, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    8. Corvello, Vincenzo & Belas, Jaroslav & Giglio, Carlo & Iazzolino, Gianpaolo & Troise, Ciro, 2023. "The impact of business owners’ individual characteristics on patenting in the context of digital innovation," Journal of Business Research, Elsevier, vol. 155(PA).
    9. Christian Groth & Jakub Growiec, 2017. "Do Mincerian Wage Equations Inform How Schooling Influences Productivity?," EUSP Department of Economics Working Paper Series 2017/04, European University at St. Petersburg, Department of Economics.
    10. Timothy Simcoe, 2012. "Standard Setting Committees: Consensus Governance for Shared Technology Platforms," American Economic Review, American Economic Association, vol. 102(1), pages 305-336, February.
    11. Vidya Atal & Kaushik Basu & John Gray & Travis Lee, 2010. "Literacy traps: Society‐wide education and individual skill premia," International Journal of Economic Theory, The International Society for Economic Theory, vol. 6(1), pages 137-148, March.
    12. Michaels, Guy, 2010. "Challenges for research on resource-rich economies," LSE Research Online Documents on Economics 55256, London School of Economics and Political Science, LSE Library.
    13. Jaimovich, Esteban, 2011. "Sectoral differentiation, allocation of talent, and financial development," Journal of Development Economics, Elsevier, vol. 96(1), pages 47-60, September.
    14. Zhaobin Fan & Hui Li, 2019. "International Migration, Human Capital Composition And Middle-Income Traps," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 883-897, September.
    15. Raquel Carrasco & Javier Ruiz-Castillo, 2019. "Spatial mobility in elite academic institutions in economics: the case of Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 141-172, June.
    16. Das, Gouranga Gopal, 2015. "Why some countries are slow in acquiring new technologies? A model of trade-led diffusion and absorption," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 65-91.
    17. Ajay Agrawal, 2014. "Diaspora Networks, Knowledge Flows and Brain Drain," WIPO Economic Research Working Papers 15, World Intellectual Property Organization - Economics and Statistics Division.
    18. Paulo Matos & Pedro Neves, 2020. "The Determinants of Total Factor Productivity in the Portuguese Quaternary Sector," GEE Papers 0149, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Apr 2020.
    19. Franzoni, Chiara & Scellato, Giuseppe & Stephan, Paula, 2014. "The mover’s advantage: The superior performance of migrant scientists," Economics Letters, Elsevier, vol. 122(1), pages 89-93.
    20. Boh, Wai Fong & Evaristo, Roberto & Ouderkirk, Andrew, 2014. "Balancing breadth and depth of expertise for innovation: A 3M story," Research Policy, Elsevier, vol. 43(2), pages 349-366.
    21. Ajay Agrawal & Avi Goldfarb & Florenta Teodoridis, 2013. "Does Knowledge Accumulation Increase the Returns to Collaboration?," NBER Working Papers 19694, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • I20 - Health, Education, and Welfare - - Education - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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