Data Imputation Methods and Technologies IJTSRD
We introduce a class of linear quantile regression estimators for panel data. Our framework contains dynamic autoregressive models, models with general predetermined regressors, and models with multiple individual e?ects as special cases. We follow a correlated random-e?ects approach, and rely on additional layers of quantile regressions as a flexible tool to model conditional distributions. Conditions […]