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Separating uncertainty from heterogeneity in life cycle earnings
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Abstract
This paper develops and applies a method for decomposing cross section variability of earnings into components that are forecastable at the time students decide to go to college (heterogeneity) and components that are unforecastable. About 60 % of variability in returns to schooling is forecastable. This has important implications for using measured variability to price risk and predict college attendance.earnings; unforecastable; forecastable