全球智库信息集成服务系统(G2TT): Labor Supply Elasticities: Overcoming Nonclassical Measurement Error Using More Accurate Hours Data

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w22920
来源ID	Working Paper 22920
	Labor Supply Elasticities: Overcoming Nonclassical Measurement Error Using More Accurate Hours Data
	Garry Barrett; Daniel S. Hamermesh
发表日期	2016-12-12
出版年	2016
语种	英语
摘要	We measure the impact of measurement error in labor-supply elasticities estimated over recalled usual work hours, as is ubiquitous in the literature. Employing hours of work in diaries collected by the American Time Use Survey, 2003-12, along with the same respondents’ recalled usual hours, we show that the latter yield elasticities that are positively biased. We argue that this bias arises from the salience on recalled hours of differences in wage rates.
主题	Econometrics ; Estimation Methods ; Labor Economics ; Labor Supply and Demand
URL	https://www.nber.org/papers/w22920
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/580593
推荐引用方式 GB/T 7714	Garry Barrett,Daniel S. Hamermesh. Labor Supply Elasticities: Overcoming Nonclassical Measurement Error Using More Accurate Hours Data. 2016.