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Human Capital, Technology diffusion and Economic Growth in Low-to-Middle Income Country: a time series perspective of Guatemala, 1950-2001

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  • Loening, J.L.

Abstract

This paper investigates the impact of human capital on economic growth in Guatemala through the application of an error-correction methodology. Two channels are analyzed, by which human capital is expected to influence growth. A better-educated labor force appears to have a positive and significant impact on economic growth both via factor accumulation as well as on the evolution of total factor productivity. The results have been found robust concerning data issues and parameter stability.

Suggested Citation

  • Loening, J.L., 2004. "Human Capital, Technology diffusion and Economic Growth in Low-to-Middle Income Country: a time series perspective of Guatemala, 1950-2001," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 4(3).
    • Handle: RePEc:eaa:aeinde:v:4:y:2004:i:1_23
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    References listed on IDEAS

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    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October.
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    Cited by:

    1. Roula INGLESI-LOTZ & Renee VAN EYDEN & Charlotte DU TOIT, 2014. "The evolution and contribution of technological progress to the South African economy: Growth accounting and Kalman filter application," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 14(1), pages 175-188.
    2. Loening, J.L., 2005. "Estimating Human and Physical Capital Stocks in Data-Scarce Environments: A Methodological Note and Application to Guatemala," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(1), pages 84-114.
    3. Kris IYER, 2011. "Technology Gap, Catching-up and Outward Orientation: Analysis of 63 countries," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 11(2).

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    More about this item

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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