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A Panel Data Model with Generalized Higher-Order Network Effects

In: Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology

Author

Listed:
  • Badi H. Baltagi
  • Sophia Ding
  • Peter H. Egger

Abstract

Many data situations require the consideration of network effects among the cross-sectional units of observation. In this chapter, the authors present a generalized panel model which accounts for two features: (i) network effects present through weighted dependent variables as regressors, exogenous variables, as well as the error components, and (ii) higher-order network effects due to ex ante unknown network decay functions or the presence of multiplex (multi-layer) networks among all of those. The authors outline the model, the basic assumptions, and present simulation results.

Suggested Citation

  • Badi H. Baltagi & Sophia Ding & Peter H. Egger, 2022. "A Panel Data Model with Generalized Higher-Order Network Effects," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology, volume 43, pages 9-35, Emerald Group Publishing Limited.
    • Handle: RePEc:eme:aecozz:s0731-90532021000043b002
    DOI: 10.1108/S0731-90532021000043B002
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    Cited by:

    1. is not listed on IDEAS
    2. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian estimation of multivariate panel probits with higher‐order network interdependence and an application to firms' global market participation in Guangdong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1356-1378, November.

    More about this item

    Keywords

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models

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