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Revisiting the FDI impact on GDP growth in errors-in-variables models: a panel data GMM analysis allowing for error memory

Author

Listed:
  • Erik Biørn

    (University of Oslo)

  • Xuehui Han

    (Asian Development Bank)

Abstract

GMM estimation of autoregressive equations in error-ridden variables with error memory is considered in exploring the impact of foreign direct investment (FDI) on GDP from country panel data, contrasting, inter alia, the manufacturing and the service sector. To evaluate finite-sample properties of the methods selected, results from Monte Carlo simulations are reported. Contrary to the previous findings, no negative spillover effects from the service FDI on manufacturing GDP growth are obtained; the estimates indicate a positive effect, while (surprisingly) the effect of service FDI on the service GDP growth comes out as insignificant. Overall conclusions are: (1) Aggregate FDI has a positive, but insignificant effect on aggregate GDP based on the full country panel; (2) for the developing Asian countries, FDI significantly improves GDP growth; and (3) manufacturing FDI impacts both manufacturing and service GDP growth positively.

Suggested Citation

  • Erik Biørn & Xuehui Han, 2017. "Revisiting the FDI impact on GDP growth in errors-in-variables models: a panel data GMM analysis allowing for error memory," Empirical Economics, Springer, vol. 53(4), pages 1379-1398, December.
    • Handle: RePEc:spr:empeco:v:53:y:2017:i:4:d:10.1007_s00181-016-1203-4
    DOI: 10.1007/s00181-016-1203-4
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    Cited by:

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    More about this item

    Keywords

    Foreign direct investment; Economic development; Panel data; Measurement error; GMM; Error memory; Monte Carlo;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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