A building approvals regression model - it is about half momentum (AR(1)) and about half the 12m change in the unemployment rate.
The counterintuitive bit: a rising unemployment rate predicts stronger approvals growth, not weaker. That's because approvals lead the economic cycle and are driven by interest rates, and the RBA cuts rates precisely when unemployment is climbing. So "unemployment rose over the past year" really stands in for "the RBA has been easing," which lifts approvals. The unemployment rate is just a cleaner, less noisy way to capture that monetary cycle than the cash rate itself.
Tested and rejected on AIC/BIC gounds: Approvals level, log-level of approvals, year-on-year approvals growth, 1-month approvals growth, 3-month approvals growth, monthly frequency with stepped quarterly GDP, GDP Q/Q growth, GDP-per-capita Q/Q growth, GDP Y/Y growth, GDP-per-capita Y/Y growth, GDP-per-capita Q/Q lagged 1 quarter, GDP-per-capita Q/Q lagged 2 quarters, 3-month change in cash rate, 12-month change in cash rate, 12-month population growth (smoothed 15 ), lagged dependent on Y/Y