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Separating uncertainty from heterogeneity in life cycle earnings
Cunha, Flávio (contributor); Heckman, James J. (contributor) - 2005
Persistent link: https://www.econbiz.de/10002905795
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Separating uncertainty from heterogeneity in life cycle earnings
Cunha, Flavio; Heckman, James J.; Navarro, Salvador - 2005
Persistent link: https://www.econbiz.de/10002535991
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Separating uncertainty from heterogeneity in life cycle earnings
Cunha, Flávio; Heckman, James J.; Navarro, Salvador - In: Oxford economic papers 57 (2005) 2, pp. 191-261
Persistent link: https://www.econbiz.de/10002688469
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Separating Uncertainty from Heterogeneity in Life Cycle Earnings
Cunha, Flavio - 2010
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...
Persistent link: https://www.econbiz.de/10012760884
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Separating Uncertainty from Heterogeneity in Life Cycle Earnings
Cunha, Flavio; Heckman, James J.; Navarro-Lozano, Salvador - 2021
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...
Persistent link: https://www.econbiz.de/10013216132
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Separating Uncertainty from Heterogeneity in Life Cycle Earnings
Cunha, Flavio; Heckman, James J.; Navarro-Lozano, Salvador - 2021
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...
Persistent link: https://www.econbiz.de/10013318818
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Separating Uncertainty from Heterogeneity in Life Cycle Earnings
Cunha, Flavio - 2005
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...
Persistent link: https://www.econbiz.de/10012467663
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Accounting for dropout risk and upgrading in educational choices : new evidence for lifetime returns in Germany
Zühlke, Anne; Kugler, Philipp; Hackenberger, Armin; … - In: Education economics 30 (2022) 6, pp. 574-589
Persistent link: https://www.econbiz.de/10013492923
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Anatomy of lifetime earnings inequality : heterogeneity in job ladder risk vs. human capital
Karahan, Fatih; Ozkan, Serdar; Song, Jae - 2022
Persistent link: https://www.econbiz.de/10012803480