A simple panel stationarity test in the presence of serial correlation and a common factor
Abstract
This paper develops a simple test à la Pesaran (2007) for the null hypothesis of stationarity in heterogeneous panel data with cross-sectional dependence in the form of a common factor in the disturbance. We also allow for serial correlation.Download Info
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Bibliographic Info
Article provided by Elsevier in its journal Economics Letters.
Volume (Year): 115 (2012)
Issue (Month): 1 ()
Pages: 31-34
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Web page: http://www.elsevier.com/locate/ecolet
Related research
Keywords: Panel data; Stationarity; KPSS test; Cross-sectional dependence; Common factor;Find related papers by JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Eiji Kurozumi & Daisuke Yamazaki & Kaddour Hadri, 2012. "Covariate Unit Root Test for Cross-Sectionally Dependent Panel Data," Global COE Hi-Stat Discussion Paper Series gd12-256, Institute of Economic Research, Hitotsubashi University.
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