Classical regression analysis uses partial coefficients to measure the influences of some variables (regressors) on …

Explained variance (R^2) is a familiar summary of the fit of a linear regression and has been generalized in various …), and there are variables measured on individuals and each grouping unit. The models are based on regression relationships … based on comparing variances in a single fitted model rather than comparing to a null model. In simple regression, our …

This paper investigates the effects of ordinal regressors in linear regression models. Each ordered categorical …

the kernel weights of our panel data semi-parametric regression models. We find that a life expectancy measure for years …