The article forecasts US real house prices using different models. They find that a small-scale Bayesian-shrinkage model with 10 variables performs best. Only the dynamic stochastic general equilibrium model accurately predicts a turning point in 2006. Developing these types of models is crucial for forecasting housing market trends.