Testing factors in CCE

Nicholas Brown and Joakim Westerlund

Economics Letters, 2023, vol. 230, issue C

Abstract: One of the most popular estimators of interactive effects panel data models is the common correlated effects (CCE) approach, which uses the cross-sectional averages of the observables to estimate the unobserved factors. The present paper proposes a simple test statistic that is suitable for testing hypotheses about these factors. The statistic can be used to test if a subset of the averages is enough to estimate the factors, or if there are observable variables that capture them. The statistic can also be used sequentially to determine the smallest set of averages needed to estimate the factors.

Keywords: Factor model selection; Interactive effects models; CCE estimation (search for similar items in EconPapers)
Date: 2023
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Working Paper: TESTING FACTORS IN CCE (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:230:y:2023:i:c:s0165176523002707

DOI: 10.1016/j.econlet.2023.111245

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