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The Age-Productivity Gradient: Evidence from a Sample of F1 Drivers
Social Science Research Network
Estimating the effect of aging on productivity requires clean measures of productivity. Additionally, one needs to control for unobserved heterogeneity at the worker, firm and worker/firm level, to account for the role of experience and to correct for selection bias. We tackle these issues exploiting a panel of Gran Prix Formula One drivers, which provides a unique setting to single out the data requirements needed to credibly estimate the effect of age on productivity. Results robust to thedoi:10.2139/ssrn.1433867 fatcat:crjjmscuizderdvgr3ehg2suh4