Estimating the intergenerational persistence of lifetime earnings with life course matching: Evidence from the PSID |
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| Authors: | Elena Gouskova Ngina Chiteji Frank Stafford |
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| Institution: | 1. Economic Behavior Program, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48106, United States;2. Department of Economics, Skidmore College, United States;3. Department of Economics, University of Michigan, United States;4. Institute for Social Research, University of Michigan, United States;1. Division of Urologic Oncology, Department of Urology, New York University Langone Medical Center, New York, NY;2. NYU Robert F. Wagner Graduate School of Public Service, New York, NY;3. Departments of Population Health and Medicine, New York University School of Medicine, New York, NY;4. NYU Cancer Institute, New York, NY;5. VA New York Harbor Healthcare System, New York, NY;1. Department of Urology, New York University School of Medicine, New York, New York;2. Department of Population Health, New York University School of Medicine, New York, New York;3. Department of Medicine, New York University School of Medicine, New York, New York;4. New York University Cancer Institute, New York, New York;5. Veterans Affairs New York Harbor Healthcare System, New York, New York;6. Robert F. Wagner Graduate School of Public Service, New York, New York;1. Aalborg University Copenhagen, Denmark;2. Rockwool Foundation Research Unit, Denmark;3. Roskilde University, Denmark;2. IZA, Germany |
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| Abstract: | Why do estimates of the intergenerational persistence in earnings vary so much for the United States? Recent research suggests that lifecycle bias may be a major factor Grawe, N., Lifecycle bias in estimates of intergenerational earnings persistence. Labour Economics 2006, 13:551–570; Haider, S., and Solon, G., Life-cycle variation in the association between current and lifetime earnings. American Economic Review 2006, 96(4):1308–1320.]. In this paper we estimate the intergenerational correlation in lifetime earnings by using sons' and fathers' earnings at similar ages in order to account for lifecycle bias. Our estimate based on earnings measured at 35–44 for both fathers and sons is similar to that for the age range 45–54. |
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