Real growth in gross domestic product tends to be meaningfully higher when a large share of industries and demand components are growing—that is, when growth is broad across many fronts.
We apply two machine learning algorithms to forecast monthly growth of house prices and existing homes sales in Canada. Although the algorithms can sometimes outperform a linear model, the improvement in forecast accuracy is not always statistically significant.
