The factor analytical approach in near unit root interactive effects panels

Summary, in English

In a recent study, Bai (2013) proposes a new factor analytical (FA) method for estimation of stationary dynamic panel data models with fixed effects. Our interest in this method originates with the fact it does not require explicit demeaning of the data, a practice that is known to cause problems of bias and low power in near unit root panels. The purpose is to study the properties of FA when applied to such panels when the common component admits to a interactive effects representation, which is more general than fixed effects. It is shown that the estimator of the autoregressive parameter is consistent with a well centered asymptotic normal distribution, leading to unit root tests with maximal achievable power. In fact, FA is consistent and asymptotically normal regardless of whether the data are near unit root non-stationary or stationary. It is therefore very general and hence widely applicable.

• Author: Milda Norkutė; Joakim Westerlund
• Department/s: Department of Economics
• Publishing year: 2021
• Language: English
• Pages: 569-590
• Publication/Series: Journal of Econometrics
• Volume: 221
• Issue: 2
• Links: http://dx.doi.org/10.1016/j.jeconom.2020.03.017
• Document type: Journal article
• Publisher: Elsevier
• Topic: Economics
• Keywords: Bias; Common factors; Factor analytical method; Interactive effects; Local-to-unity asymptotics; Panel unit root test
• Status: Published
• ISBN/ISSN/Other: ISSN: 0304-4076