Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence

Arbeitspapier

This paper proposes a new likelihood-based panel cointegration rank test which extends the test of Orsal and Droge (2012) (henceforth Panel SL test) to allow for crosssectional dependence. The dependence is modelled by unobserved common factors which affect the variables in each cross-section through heterogeneous loadings. The common components are estimated following the panel analysis of nonstationarity in idiosyncratic and common components (PANIC) approach of Bai and Ng (2004) and the estimates are subtracted from the observations. The cointegrating rank of the defactored data is then tested by the Panel SL test. A Monte Carlo study demonstrates that the proposed testing procedure has reasonable size and power properties in finite samples.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Working Paper Series in Economics ; No. 280

Classification and Topics

• Classification: Wirtschaft ; Hypothesis Testing: General ; Statistical Simulation Methods: General ; Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
• Subject: panel cointegration rank test ; cross-sectional dependence ; common factors ; likelihoodratio ; time trend

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Arsova, Antonia ; Karaman Örsal, Deniz Dilan
• Event: Veröffentlichung
• (who): Leuphana Universität Lüneburg, Institut für Volkswirtschaftslehre
• (where): Lüneburg
• (when): 2013

Further information

• Handle: http://hdl.handle.net/10419/93531
• Last update: 10.03.2025, 11:42 AM CET