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Modified first-difference estimator in a panel data model with unobservable factors both in the errors and the regressors when the time dimension is small

Title: Modified first-difference estimator in a panel data model with unobservable factors both in the errors and the regressors when the time dimension is small
Authors: Forchini, Giovanni; Peng, Bin
Source: Forchini, G & Peng, B 2017, 'Modified first-difference estimator in a panel data model with unobservable factors both in the errors and the regressors when the time dimension is small', Communications in Statistics - Theory and Methods, vol. 46, no. 24, pp. 12226-12239. https://doi.org/10.1080/03610926.2017.1295156
Publication Year: 2017
Subject Terms: Common shocks; factors; panel data; /dk/atira/pure/subjectarea/asjc/2600/2613; name=Statistics and Probability
Description: Panel data models with factor structures in both the errors and the regressors have received considerable attention recently. In these models, the errors and the regressors are correlated and the standard estimators are inconsistent. This paper shows that, for such models, a modified first-difference estimator (in which the time and the cross-sectional dimensions are interchanged) is consistent as the cross-sectional dimension grows but the time dimension is small. Although the estimator has a non standard asymptotic distribution, t and F tests have standard asymptotic distribution under the null hypothesis.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 0361-0926; 1532-415X
Relation: info:eu-repo/semantics/altIdentifier/pissn/0361-0926; info:eu-repo/semantics/altIdentifier/eissn/1532-415X
DOI: 10.1080/03610926.2017.1295156
Availability: https://researchportal.bath.ac.uk/en/publications/4a3613e4-7ea5-4f2b-aee1-fffea2d5a312; https://doi.org/10.1080/03610926.2017.1295156; https://purehost.bath.ac.uk/ws/files/169501645/MFD_20_01_2017.pdf; https://www.scopus.com/pages/publications/85028764002
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.F862FA2A
Database: BASE