2016
DOI: 10.1111/ectj.12070
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Lagrange multiplier type tests for slope homogeneity in panel data models

Abstract: In this paper, we employ the Lagrange multiplier (LM) principle to test parameter homogeneity across cross-section units in panel data models. The test can be seen as a generalization of the Breusch-Pagan test against random individual effects to all regression coefficients. While the original test procedure assumes a likelihood framework under normality, several useful variants of the LM test are presented to allow for non-normality, heteroscedasticity and serially correlated errors. Moreover, the tests can b… Show more

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Cited by 17 publications
(7 citation statements)
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“…Note that Theorem 3.7 is a stronger result than those usually derived in the related literature, as it proves consistency of the test decision (3.22) against a whole class of local alternatives. In contrast, the works cited in Section 2.2 consider either fixed alternatives or fixed local alternatives (such as Pesaran and Yamagata (2008) or Breitung et al (2016)).…”
Section: A Pivotal Test For Approximate Slope Homogeneitymentioning
confidence: 99%
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“…Note that Theorem 3.7 is a stronger result than those usually derived in the related literature, as it proves consistency of the test decision (3.22) against a whole class of local alternatives. In contrast, the works cited in Section 2.2 consider either fixed alternatives or fixed local alternatives (such as Pesaran and Yamagata (2008) or Breitung et al (2016)).…”
Section: A Pivotal Test For Approximate Slope Homogeneitymentioning
confidence: 99%
“…As in most cases slope homogeneity cannot be determined a priori, many authors have developed goodness of fit tests to investigate if this assumption is reasonable (see Zellner (1962); Swamy (1970); Pesaran et al (1996); Phillips and Sul (2003); Pesaran and Yamagata (2008); Blomquist and Westerlund (2013); Breitung et al (2016) among others).…”
Section: Introductionmentioning
confidence: 99%
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“…Similarly, statisticians have developed various panel unit root and cointegration tests to circumvent the problem (Liven &Lin, 1993;Quah, 1994;McCoskey & Kao, 1998;Chieng & Kao, 2002). Despite the efforts by applied econometricians, it appears that the panel unit roots test cannot provide an appropriate account of the cross-sectional dependence problem (Gao et al, 2020;Su& Chen, 2013;Pesaran & Yamagata, 2008;Ando & Bai, 2015;Breitung et al, 2016;Dikgraaf & Vollebergh, 2005). Breusch and Pagan (1979) and Pesaran (2004) are often implemented to resolve the problem.…”
Section: Cross-section Dependence and Homogeneity Testsmentioning
confidence: 99%
“…Source: Author's calculations. LM, Lagrange multiplier; CD, cross-sectional dependence.Overall, however, the null hypothesis of cross-sectional independence is rejected at the 1% significance level, among the countries in the panel.Relatedly, according toBreitung et al (2016), it is important to test the assumption of slope homogeneity before applying standard panel data techniques. For our paper, we employed the delta tilde and adjusted delta tilde tests provided byPesaran and Yamagata (PY) (2008).…”
mentioning
confidence: 99%