Testing for Breaks in Cointegrated Panels with Common and Idiosyncratic Stochastic Trends

Chihwa Kao, Lorenzo Trapani () and Giovanni Urga

No 129, Center for Policy Research Working Papers from Center for Policy Research, Maxwell School, Syracuse University

Abstract: In this paper, we develop tests for structural change in cointegrated panel regressions with common and idiosyncratic trends. We consider both the cases of observable and nonobservable common trends, deriving a Functional Central Limit Theorem for the partial sample estimators under the null of no break. We show that tests based on sup-Wald statistics are powerful versus breaks of size , also proving that power is present when the time of change differs across units and when only some units have a break. Our framework is extended to the case of cross correlated regressors and endogeneity. Monte Carlo evidence shows that the tests have the correct size and good power properties.

Keywords: Structural change; Panel cointegration; Common stochastic trends; Functional Central Limit Theorem. (search for similar items in EconPapers)
JEL-codes: C23 (search for similar items in EconPapers)
Pages: 49 pages
Date: 2011-02
New Economics Papers: this item is included in nep-ecm and nep-ets
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:max:cprwps:129

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