Regression model error assumptions are essential to estimator properties. Least squares model parameters are consistent and efficient when the underlying error terms are normally distributed but yield inefficient estimators when errors are not normally distributed. Partially adaptive and...

Sephton (2020) demonstrated that nearly all national and relative CO2 emissions in a group of 33 nations were mean-reverting after making allowance for non-linear deterministics and first-order autocorrelation. This suggested that a permanent reduction in emissions could only be accomplished...

Regression model error assumptions are essential to estimator properties. Least squares model parameters are consistent and efficient when the underlying error terms are normally distributed but yield inefficient estimators when errors are not normally distributed. Partially adaptive and...