2004
DOI: 10.1016/j.jeconom.2003.10.020
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Testing for a unit root in panels with dynamic factors

Abstract: This paper studies testing for a unit root for large n and T panels in which the cross-sectional units are correlated. To model this cross-sectional correlation, we assume that the data is generated by an unknown number of unobservable common factors. We propose unit root tests in this environment and derive their (Gaussian) asymptotic distribution under the null hypothesis of a unit root and local alternatives. We show that these tests have significant asympotitic power when the model has no incidental trends… Show more

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Cited by 772 publications
(612 citation statements)
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References 27 publications
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“…If cross-sectional dependence cannot be rejected, we apply three different second generation PURTs: the Cross-sectionally ADF (CADF) of Pesaran (2007), the Cross-sectional augmented IPS (CIPS) proposed by Pesaran (2007) and the MP test proposed by Moon and Perron (2004). All these tests have in common the assumption of cross-sectional correlation due to the presence of unknown common factors (e.g.…”
Section: Accounting For Cross-country Dependencementioning
confidence: 99%
See 1 more Smart Citation
“…If cross-sectional dependence cannot be rejected, we apply three different second generation PURTs: the Cross-sectionally ADF (CADF) of Pesaran (2007), the Cross-sectional augmented IPS (CIPS) proposed by Pesaran (2007) and the MP test proposed by Moon and Perron (2004). All these tests have in common the assumption of cross-sectional correlation due to the presence of unknown common factors (e.g.…”
Section: Accounting For Cross-country Dependencementioning
confidence: 99%
“…Both tests have as null hypothesis homogeneous unit root (all individuals within a panel data are non-stationary) versus the alternative that at least one individual in the panel is stationary. Moon and Perron (2004) develop a factor model test with two modified t-statistics with standard normal distribution for the null hypothesis of a unit root H 0 : δ i = 1 i = 1,...,N which is tested against the heterogeneous H 1 : δ i < 1 for some i. The test assumes that the error term follows a K-unobserved-common factors model to which an idiosyncratic shock is added.…”
Section: Accounting For Cross-country Dependencementioning
confidence: 99%
“…Modern panel analyses of cointegration and stationarity have been implemented, for instance, by Rault (2007, 2008), Prohl and Schneider (2006), Westerlund and Prohl (2010) and Afonso and Jalles (2012). Afonso and Rault (2007) emphasize that the common panel methods of testing integration are (i) fi rst generation panel unit root tests, that assume cross-country independence among panel units except for common time effects (Breitung, 2000;Hadri, 2000;Levin, Lin, Chu, 2002;Im, Pesaran, Shin, 2003), (ii) second generation panel unit root tests allowing for cross-country dependence, by Moon and Perron (2004), Choi (2006), (iii) panel unit root test allowing for structural breaks (Im, Lee, 2001) based on the Lagrange multiplier.…”
Section: Panel Tests Of Sustainabilitymentioning
confidence: 99%
“…The panel model application of cross-sectional dependence is now developing in the modern literature. The most common tests, testing the sustainability of public fi nances under conditions of cross-sectional dependence, are those proposed by Phillips and Sul (2003), Bai and Ng (2004), Smith, Leybourne and Kim (2004), Moon and Perron (2004), Choi (2006), andPesaran (2007).…”
Section: Panel Tests Of Sustainabilitymentioning
confidence: 99%
“…This investigation can be done via unit root test. The panel unit root tests can be found in Im et al (2003), Lin (1992, 1993), Levin et al (2002), Bai and Ng (2004), Philips and Sul (2003), Moon and Perron (2004), Pesaran (2007) and Choi (2001Choi ( , 2002. Hurlin (2010) distinguished two generations of unit root tests on which the first generation tests relied on the assumption that all cross sectional units are independent.…”
Section: Introductionmentioning
confidence: 99%