Measuring and forecasting asymetries in Employment Cycles with U.S. Labor Market Applications

G.A. Pfann*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


This paper proposes and estimates a particular non-linear model to measure and forecast asymmetry in employment dynamics and their rates of growth for aggregate US employment and six different categories of workers (white males, white females, non-white males, non-white females, non-farm laborers, and professionals). The model, which is an approximation to a partial adjustment model with asymmetric adjustment costs, fits the data better than the standard linear autoregressive employment models, and accurately reproduces the asymmetries for series with non-linear propagation mechanisms.
Original languageEnglish
Pages (from-to)433-445
JournalInternational Journal of Forecasting
Publication statusPublished - 1 Jan 2001

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