G2TT
来源类型Discussion paper
规范类型论文
来源IDDP16032
DP16032 Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply
Tomas Havranek; Roman Horváth; Ali Elminejad
发表日期2021-04-12
出版年2021
语种英语
摘要The intertemporal substitution (Frisch) elasticity of labor supply governs the predictions of real business cycle models and models of taxation. We show that, for the extensive margin elasticity, two biases conspire to systematically produce large positive estimates when the elasticity is in fact zero. Among 723 estimates in 36 studies, the mean reported elasticity is 0.5. One half of that number is due to publication bias: larger estimates are reported preferentially. The other half is due to identification bias: studies with less exogenous time variation in wages report larger elasticities. Net of the biases, the literature implies a zero mean elasticity and, with 95% confidence, is inconsistent with calibrations above 0.25. To derive these results we collect 23 variables that reflect the context in which the elasticity was obtained, use nonlinear techniques to correct for publication bias, and employ Bayesian and frequentist model averaging to address model uncertainty.
主题Labour Economics
关键词Frisch elasticity Labor supply Extensive margin Meta-analysis Publication bias Bayesian model averaging
URLhttps://cepr.org/publications/dp16032
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/545013
推荐引用方式
GB/T 7714
Tomas Havranek,Roman Horváth,Ali Elminejad. DP16032 Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply. 2021.
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