The Study of Robust Estimators on Panel Data Regression Model for Data Contaminated with Outliers

Outliers can cause biased parameter estimators and deviate from the actual values. This research studies robust estimators on panel data regression model. The robust estimators used are least trimmed squares (LTS) and within-group generalized M (WGM). This research aims to study robust estimator met