A Meta Analytic Approach to Testing for Panel Cointegration

C.H. Hanck

doi:10.1080/03610910902750039

A Meta Analytic Approach to Testing for Panel Cointegration

C.H. Hanck^*

^*Corresponding author for this work

Quantitative Economics

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

We propose new tests for panel cointegration by extending the panel unit root tests of choi (2001 choi , i. ( 2001 ). Unit root tests for panel data . Journal of international money and finance 20 ( 2 ): 249 – 272 .[crossref], [web of science ®], , [google scholar]) and maddala and wu (1999 maddala , g. Wu , s. ( 1999 ). A comparative study of unit root tests with panel data and a new simple test . Oxford bulletin of economics and statistics 61 ( s1 ): 631 – 652 .[crossref], , [google scholar]) to the panel cointegration case. The tests are flexible, intuitively appealing, and relatively easy to compute. We investigate the finite sample behavior in a simulation study. Several variants of the tests compare favorably in terms of both size and power with other widely used panel cointegration tests.

Original language	English
Pages (from-to)	1051-1070
Number of pages	20
Journal	Communications in Statistics-Simulation and Computation
Volume	38
Issue number	5
DOIs	https://doi.org/10.1080/03610910902750039
Publication status	Published - 1 Jan 2009

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10.1080/03610910902750039

Cite this

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title = "A Meta Analytic Approach to Testing for Panel Cointegration",

abstract = "We propose new tests for panel cointegration by extending the panel unit root tests of choi (2001 choi , i. ( 2001 ). Unit root tests for panel data . Journal of international money and finance 20 ( 2 ): 249 – 272 .[crossref], [web of science {\textregistered}], , [google scholar]) and maddala and wu (1999 maddala , g. Wu , s. ( 1999 ). A comparative study of unit root tests with panel data and a new simple test . Oxford bulletin of economics and statistics 61 ( s1 ): 631 – 652 .[crossref], , [google scholar]) to the panel cointegration case. The tests are flexible, intuitively appealing, and relatively easy to compute. We investigate the finite sample behavior in a simulation study. Several variants of the tests compare favorably in terms of both size and power with other widely used panel cointegration tests.",

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