Arbeitspapier

A nonlinear panel model of cross-sectional dependence

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.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 673

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Information and Market Efficiency; Event Studies; Insider Trading
Thema
cross-sectional dependence
nonlinearity
factor models
panel models
fixed effects
Finanzmarkt
Herdenverhalten
Nichtlineares Verfahren
Querschnittsanalyse
Panel

Ereignis
Geistige Schöpfung
(wer)
Kapetanios, George
Mitchell, James
Shin, Yongcheol
Ereignis
Veröffentlichung
(wer)
Queen Mary University of London, School of Economics and Finance
(wo)
London
(wann)
2010

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Kapetanios, George
  • Mitchell, James
  • Shin, Yongcheol
  • Queen Mary University of London, School of Economics and Finance

Entstanden

  • 2010

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