Advance layoff notices and aggregate job loss

B-Tier
Journal: Journal of Applied Econometrics
Year: 2024
Volume: 39
Issue: 3
Pages: 462-480

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We collect data from Worker Adjustment and Retraining Notification (WARN) Act notices and establish their usefulness as an indicator of aggregate job loss. The number of workers affected by WARN notices (“WARN layoffs”) leads state‐level initial unemployment insurance claims and unemployment rate (UR) and private employment changes. WARN layoffs comove with aggregate layoffs from Mass Layoff Statistics and the Job Openings and Labor Turnover Survey but are timelier and cover a longer sample. In a vector autoregression, changes in WARN layoffs lead UR changes and job separations. Finally, they improve pseudo real‐time forecasts of the UR and private employment changes.

Technical Details

RePEc Handle
repec:wly:japmet:v:39:y:2024:i:3:p:462-480
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-25