Mixed index model revolutionizes house price predictions, outperforming traditional methods.
Researchers used a mixed index model to study house prices and found it outperformed traditional models. The mixed index model showed more accurate predictions of housing values and policy effects. It also had less skewed and kurtotic distributions, indicating it better met the assumptions of linear regression. Compared to other models, the mixed index model provided a more balanced view of the factors influencing house prices, showing the true importance of environmental quality.
