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Incidence of the Digital Economy and Frictional Unemployment : International Evidence

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  • Lederman,Daniel
  • Zouaidi,Marwane

Abstract

This paper is the first to quantify the relationship between the incidence of the digital economy and long-term frictional unemployment across countries. The resulting evidence indicates that there is a robust, negative partial correlation between national unemployment rates and the incidence of the digital economy, proxied by the share of the adult population that reports using the internet to pay bills. Further, the absolute values of ordinary least squares estimates of the partial correlation suggest that it might be higher for developing economies than high-income economies. Controlling for the incidence of informal employment appears to be key for removing a positive omitted- variable bias in the estimate of the partial correlation between unemployment and the digital economy, which is due to the existence of a negative bivariate correlation between unemployment and informality on the one hand, and a negative bivariate correlation between informality and the incidence of digital payment on the other hand. The results from instrumental variable estimations suggest that the partial correlation between unemployment and digital payments is negative, with the absolute value of the estimates being larger than the absolute value of the ordinary least squares estimates.

Suggested Citation

  • Lederman,Daniel & Zouaidi,Marwane, 2020. "Incidence of the Digital Economy and Frictional Unemployment : International Evidence," Policy Research Working Paper Series 9170, The World Bank.
  • Handle: RePEc:wbk:wbrwps:9170
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    References listed on IDEAS

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    1. Avi Goldfarb & Catherine Tucker, 2019. "Digital Economics," Journal of Economic Literature, American Economic Association, vol. 57(1), pages 3-43, March.
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    Cited by:

    1. Jin, Xing & Lyu, Kangyin, 2024. "The impact of digital economy on emerging employment trends: Insights from the China Family Panel Survey (CFPS)," Finance Research Letters, Elsevier, vol. 64(C).
    2. Xiao Ling & Zhangwei Luo & Yanchao Feng & Xun Liu & Yue Gao, 2023. "How does digital transformation relieve the employment pressure in China? Empirical evidence from the national smart city pilot policy," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.

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