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General Diagnostic Tests for Cross Section Dependence in Panels

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dc.creator Pesaran, Mohammad Hashem
dc.date 2004
dc.date.accessioned 2013-10-16T07:10:49Z
dc.date.available 2013-10-16T07:10:49Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/20504
dc.identifier ppn:393556395
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/20504
dc.description This paper proposes simple tests of error cross section dependence which are applicable to a variety of panel data models, including stationary and unit root dynamic heterogeneous panels with short T and large N. The proposed tests are based on average of pair-wise correlation coefficients of the OLS residuals from the individual regressions in the panel, and can be used to test for cross section dependence of any fixed order p, as well as the case where no a priori ordering of the cross section units is assumed, referred to as CD(p) and CD tests, respectively. Asymptotic distributions of these tests are derived and their power function analyzed under different alternatives. It is shown that these tests are correctly centred for fixed N and T, and are robust to single or multiple breaks in the slope coefficients and/or error variances. The small sample properties of the tests are investigated and compared to the Lagrange multiplier test of Breusch and Pagan using Monte Carlo experiments. It is shown that the tests have the correct size in very small samples and satisfactory power, and as predicted by the theory, quite robust to the presence of unit roots and structural breaks. The use of the CD test is illustrated by applying it to study the degree of dependence in per capita output innovations across countries within a given region and across countries in different regions. The results show significant evidence of cross dependence in output innovations across many countries and regions in the world.
dc.language eng
dc.relation IZA Discussion paper series 1240
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject C33
dc.subject C12
dc.subject C13
dc.subject ddc:330
dc.subject cross section dependence
dc.subject spatial dependence
dc.subject diagnostic tests
dc.subject dynamic heterogenous panels
dc.subject empirical growth
dc.subject Panel
dc.subject Statistischer Test
dc.subject Theorie
dc.title General Diagnostic Tests for Cross Section Dependence in Panels
dc.type doc-type:workingPaper


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