Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
An efficient matching model of quits and layoffs is developed to account for several empirical regularities. Differences between quits and layoffs over the life and business cycles and across demographic groups are generated by differential rates of general productivity growth. The standard approach to quits and layoffs, based on wage rigidity, is shown to be incapable of accounting for many of the empirical regularities. Although a formal test rejects a structural prediction of the efficient turnover model, the specification does well in predicting both the level of, and time-series variation in, the fraction of separations labeled quits. Copyright 1990 by University of Chicago Press.