A nonlinear panel model of cross-sectional dependence

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Working Paper ; No. 673

Classification and Topics

• Classification: 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
• Subject: cross-sectional dependence ; nonlinearity ; factor models ; panel models ; fixed effects ; Finanzmarkt ; Herdenverhalten ; Nichtlineares Verfahren ; Querschnittsanalyse ; Panel

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Kapetanios, George ; Mitchell, James ; Shin, Yongcheol
• Event: Veröffentlichung
• (who): Queen Mary University of London, School of Economics and Finance
• (where): London
• (when): 2010

Further information

• Handle: http://hdl.handle.net/10419/55170
• Last update: 10.03.2025, 11:42 AM CET