Abstract
In this article, we study semiparametric estimation for a single-index panel data model where the nonlinear link function varies among the individuals. We propose using the refined minimum average variance estimation method to estimate the parameter in the single-index. As the cross-section dimension N and the time series dimension T tend to infinity simultaneously, we establish asymptotic distributions for the proposed estimator. In addition, we provide a real-data example to illustrate the finite sample behavior of the proposed estimation method.
Original language | English |
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Pages (from-to) | 928 - 955 |
Number of pages | 28 |
Journal | Econometric Reviews |
Volume | 32 |
Issue number | 8 |
DOIs | |
Publication status | Published - 2013 |