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- Title
Linear Regression for Panel With Unknown Number of Factors as Interactive Fixed Effects.
- Authors
Moon, Hyungsik Roger; Weidner, Martin
- Abstract
In this paper, we study the least squares (LS) estimator in a linear panel regression model with unknown number of factors appearing as interactive fixed effects. Assuming that the number of factors used in estimation is larger than the true number of factors in the data, we establish the limiting distribution of the LS estimator for the regression coefficients as the number of time periods and the number of cross-sectional units jointly go to infinity. The main result of the paper is that under certain assumptions, the limiting distribution of the LS estimator is independent of the number of factors used in the estimation as long as this number is not underestimated. The important practical implication of this result is that for inference on the regression coefficients, one does not necessarily need to estimate the number of interactive fixed effects consistently.
- Subjects
REGRESSION analysis; ESTIMATION bias; ESTIMATION theory; MULTIVARIATE analysis; ECONOMETRICS
- Publication
Econometrica, 2015, Vol 83, Issue 4, p1543
- ISSN
0012-9682
- Publication type
Article
- DOI
10.3982/ECTA9382