Steve Bond () (Institute for Fiscal Studies and Nuffield College, Oxford) Céline Nauges Frank Windmeijer () (Institute for Fiscal Studies and University of Bristol)
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We consider a number of unit root tests for micro panels where the number of individuals is typically large, but the number of time periods is often very small. As we discuss, the presence of a unit root is closely related to the identification of parameters of interest in this context. Calculations of asymptotic local power and Monte Carlo evidence indicate that two simple t-tests based on ordinary least squares estimators perform particularly well.
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Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number
CWP07/05.
Length: 40 pp. Date of creation: Jul 2005 Date of revision: Handle: RePEc:ifs:cemmap:07/05
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Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
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