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A nonlinear panel model of cross-sectional dependence

Authors: George Kapetanios; James Mitchell; Yongcheol Shin;

A nonlinear panel model of cross-sectional dependence

Abstract

This paper proposes a new panel model of cross-sectional dependence. The model has a number of potential structural interpretations that relate to economic phenomena such as herding in financial markets. On an econometric level it provides a flexible approach to the modelling of interactions across panel units and can generate endogenous cross-sectional dependence that can resemble such dependence arising in a variety of existing models such as factor or spatial models. We discuss the theoretical properties of the model and ways in which inference can be carried out. We supplement this analysis with a detailed Monte Carlo study and two empirical illustrations.

Keywords

fixed effects, ddc:330, G14, nonlinearity, Cross-sectional dependence, Nonlinearity, Factor models, Panel models, Fixed effects, Nichtlineares Verfahren, factor models, Querschnittsanalyse, cross-sectional dependence, Panel, Herdenverhalten, C31, C32, panel models, C33, Finanzmarkt, jel: jel:C31, jel: jel:C32, jel: jel:C33, jel: jel:G14

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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