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来源类型 | Discussion paper |
规范类型 | 论文 |
来源ID | DP16032 |
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 |
URL | https://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. |
条目包含的文件 | 条目无相关文件。 |
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