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Does the Internet increase labor productivity? Evidence from a cross-country dynamic panel

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  • Najarzadeh, Reza
  • Rahimzadeh, Farzad
  • Reed, Michael

Abstract

The Internet has various economic functions and is a fundamental part of most economic activities and transactions. In this paper we apply a Dynamic Panel Data approach to study the impact of the Internet on labor productivity using data from 108 countries for the period 1995–2010. The results of the study show that the Internet has positive and statistically significant effects on labor productivity. Assuming other factors stay constant, increasing the number of Internet users by one percent increases GDP per employed person by $8.16–14.6. Educational expenditures as a percentage of GNI, per capita health expenditures, trade and gross capital formation as a percentage of GDP also have positive and statistically significant effects on labor productivity.

Suggested Citation

  • Najarzadeh, Reza & Rahimzadeh, Farzad & Reed, Michael, 2014. "Does the Internet increase labor productivity? Evidence from a cross-country dynamic panel," Journal of Policy Modeling, Elsevier, vol. 36(6), pages 986-993.
    • Handle: RePEc:eee:jpolmo:v:36:y:2014:i:6:p:986-993
    DOI: 10.1016/j.jpolmod.2014.10.003
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    More about this item

    Keywords

    Internet; Labor productivity; Dynamic Panel Data; GMM;
    All these keywords.

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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