Learning to Detect Recessions from Pseudo-out-of-sample Tests
This paper detects US recessions early from unemployment and vacancy data, using pseudo-out-of-sample tests to choose the appropriate recession classifier. Out of sample, it issues early warnings on average 5.2 months before the NBER, with only one false positive between 1978 and 2025.