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Generalized spatial autocorrelation in a panel-probit model with an application to exporting in China

Author

Listed:
  • Badi H. Baltagi

    (Syracuse University)

  • Peter H. Egger

    (ETH Zurich)

  • Michaela Kesina

    (ETH Zurich)

Abstract

This paper proposes a generalized spatial panel-data probit model with spatial autocorrelation of the dependent variable, the time-invariant individual shocks, and the remainder disturbances. It proposes its estimation with a Bayesian Markov chain Monte Carlo procedure. Simulation results show that the proposed estimation method performs well in small- to medium-sized samples. This method is then applied to the analysis of export-market participation of 1451 Chinese firms between 2002 and 2006 in the prefecture-level city of Wenzhou in the province of Zhejiang. Empirical results show that two of the three forms of the hypothesized spatial autocorrelation are significant, namely the spatial lag for the dependent variable and the time-invariant firm-specific shocks, but not the time-variant shocks. Ignoring any of these significant spatial effects would lead to misspecification.

Suggested Citation

  • Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2018. "Generalized spatial autocorrelation in a panel-probit model with an application to exporting in China," Empirical Economics, Springer, vol. 55(1), pages 193-211, August.
    • Handle: RePEc:spr:empeco:v:55:y:2018:i:1:d:10.1007_s00181-017-1409-0
    DOI: 10.1007/s00181-017-1409-0
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    4. Shobande Olatunji Abdul, 2019. "Effects of Energy Use on Socioeconomic Predictors in Africa: Synthesizing Evidence," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 29(4), pages 21-40, December.

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    More about this item

    Keywords

    Spatial econometrics; Spillovers; Panel-data econometrics; Panel-probit; Firm-level exporting; Chinese firms;
    All these keywords.

    JEL classification:

    • 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
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

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