A Panel Data Model with Generalized Higher-Order Network Effects

Badi Baltagi, Sophia Ding and Peter Egger

A chapter in Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology, 2022, vol. 43B, pp 9-35 from Emerald Group Publishing Limited

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.

Keywords: Spatial and network interdependence; panel data; higher-order network effects; random effects; error components; maximum-likelihood estimation; C23; C33; C34 (search for similar items in EconPapers)
Date: 2022
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Related works:
Working Paper: A Panel Data Model with Generalized Higher-Order Networks Effects (2020)
Working Paper: A Panel Data Model with Generalized Higher-Order Network Effects (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:eme:aecozz:s0731-90532021000043b002

DOI: 10.1108/S0731-90532021000043B002

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