Robust estimation and empirical likelihood inference with exponential squared loss for panel data models

This paper introduces a robust estimation for panel data models using the exponential squared loss function. We propose the method by constructing the robust empirical likelihood ratio function. The Monte Carlo simulations show that the proposed estimator is robust in the fixed and random effects models.