Hedonic housing price indices were studied in Brisbane, Australia from 1985 to 2005. Researchers developed models that consider changing consumer preferences and spatial correlation in prices. They found that a model with time-varying coefficients and spatial errors performed the best, while the rolling-window model performed the worst. This helps in predicting house prices more accurately.