The authors explain how to handle violations of OLS assumptions, such as heteroscedasticity and autocorrelation.
Covers forecasting with time-series models and their applications to economic variables. Accessible Formats
This dual source of error is the first lesson in why perfect forecasts are impossible.
Covers curve fitting, least squares, and elementary statistics review.
The authors explain how to handle violations of OLS assumptions, such as heteroscedasticity and autocorrelation.
Covers forecasting with time-series models and their applications to economic variables. Accessible Formats
This dual source of error is the first lesson in why perfect forecasts are impossible.
Covers curve fitting, least squares, and elementary statistics review.
