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Structural development accounting

Author

Listed:
  • Gino Gancia
  • Andreas Müller
  • Fabrizio Zilibotti

Abstract

We construct and estimate a unifi ed model combining three of the main sources of cross-country income disparities: differences in factor endowments, barriers to technology adoption and the inappropriateness of frontier technologies to local conditions. The key components are different types of workers, distortions to capital accumulation, directed technical change, costly adoption and spillovers from the world technology frontier. Despite its parsimonious parametrization, our empirical model provides a good fi t of GDP data for up to 86 countries in 1970 and 122 countries in 2000. Removing barriers to technology adoption would increase the output per worker of the average non-OECD country relative to the US from 0.19 to 0.61, while increasing skill premia in all countries. Removing barriers to trade in goods amplifi es income disparities, induces skill-biased technology adoption and increases skill premia in the majority of countries. These results are reverted if trade liberalization is coupled with international IPR protection.

Suggested Citation

  • Gino Gancia & Andreas Müller & Fabrizio Zilibotti, 2011. "Structural development accounting," ECON - Working Papers 010, Department of Economics - University of Zurich.
    • Handle: RePEc:zur:econwp:010
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Towards better growth accounting
      by Economic Logician in Economic Logic on 2011-01-18 20:23:00

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    Cited by:

    1. Alessandra Bonfiglioli & Rosario Crinò & Gino Gancia, 2018. "Firms and Economic Performance: A view from Trade," Working Papers 1034, Barcelona School of Economics.
    2. Acemoglu, Daron & Gancia, Gino & Zilibotti, Fabrizio, 2012. "Competing engines of growth: Innovation and standardization," Journal of Economic Theory, Elsevier, vol. 147(2), pages 570-601.3.
    3. Daron Acemoglu & Gino Gancia & Fabrizio Zilibotti, 2015. "Offshoring and Directed Technical Change," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(3), pages 84-122, July.
    4. Harald Fadinger & Karin Mayr, 2014. "Skill-Biased Technological Change, Unemployment, And Brain Drain," Journal of the European Economic Association, European Economic Association, vol. 12(2), pages 397-431, April.
    5. German Cubas & B. Ravikumar & Gustavo Ventura, 2016. "Talent, Labor Quality, and Economic Development," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 160-181, July.
    6. Alessandra Bonfiglioli & Gino Gancia, 2019. "Heterogeneity, selection and labor market disparities," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 31, pages 305-325, January.
    7. Jerzmanowski, Michal & Tamura, Robert, 2019. "Directed technological change & cross-country income differences: A quantitative analysis," Journal of Development Economics, Elsevier, vol. 141(C).
    8. Ariel Burstein & Javier Cravino & Jonathan Vogel, 2013. "Importing Skill-Biased Technology," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 32-71, April.
    9. Gino Gancia, 2012. "Globalization, technology and inequality," Economics Working Papers 1363, Department of Economics and Business, Universitat Pompeu Fabra, revised Nov 2012.
    10. Oscar Afonso & Tiago Sequeira, 2020. "Tradable and nontradable directed technical change," Applied Economics, Taylor & Francis Journals, vol. 52(36), pages 3874-3897, July.
    11. Beerli, Andreas & Weiss, Franziska J. & Zilibotti, Fabrizio & Zweimüller, Josef, 2020. "Demand forces of technical change evidence from the Chinese manufacturing industry," China Economic Review, Elsevier, vol. 60(C).
    12. Inoue, Atsushi & Jin, Lu & Rossi, Barbara, 2017. "Rolling window selection for out-of-sample forecasting with time-varying parameters," Journal of Econometrics, Elsevier, vol. 196(1), pages 55-67.
    13. Harald Fadinger & Karin Mayr, 2014. "Skill-Biased Technological Change, Unemployment, And Brain Drain," Journal of the European Economic Association, European Economic Association, vol. 12(2), pages 397-431, April.
    14. Schiopu, Ioana, 2015. "Technology adoption, human capital formation and income differences," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 318-335.
    15. German Cubas & B. Ravikumar & Gustavo Ventura, 2016. "Talent, Labor Quality, and Economic Development," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 160-181, July.

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    19. repec:ilo:ilowps:366690 is not listed on IDEAS
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    More about this item

    Keywords

    Directed technology adoption; development accounting; distance to frontier; inappropriate technologies; skill-biased technical change; productivity; TFP differences;
    All these keywords.

    JEL classification:

    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • 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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