Two-stage instrumental variable estimation of linear panel data models with interactive effects

Eigenvalue ratio test for the number of factors

Guowei Cui, Milda NorkutÄ—, Vasilis Sarafidis and Takashi Yamagata

The Econometrics Journal, 2022, vol. 25, issue 2, 340-361

Abstract: SummaryThis paper analyses the instrumental variables (IV) approach put forward by Norkute et al. (2021), in the context of static linear panel data models with interactive effects present in the error term and the regressors. Instruments are obtained from transformed regressors, thereby it is not necessary to search for external instruments. We consider a two-stage IV (2SIV) and a mean-group IV (MGIV) estimator for homogeneous and heterogeneous slope models, respectively. The asymptotic analysis reveals that: (i) the -consistent 2SIV estimator is free from asymptotic bias that may arise due to the estimation error of the interactive effects, while (ii) existing estimators can suffer from asymptotic bias; (iii) the proposed 2SIV estimator is asymptotically as efficient as existing estimators that eliminate interactive effects jointly in the regressors and the error, while (iv) the relative efficiency of the estimators that eliminate interactive effects only in the error term is indeterminate. A Monte Carlo study confirms good approximation quality of our asymptotic results.

Keywords: Large panel data; interactive effects; common factors; principal components analysis; instrumental variables (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (11)

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Related works:
Working Paper: Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects (2021)
Working Paper: Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects (2020)
Working Paper: Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:oup:emjrnl:v:25:y:2022:i:2:p:340-361.

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