The American Time Use Survey (ATUS) accurately measures hours worked on a single day. We propose several estimators of elasticities of weekly labor supply in a linear regression model, despite certain impossibility results due to the time specific feature of the ATUS. We recommend the impute estimator, a simple modification of the standard two stage least squares estimator, that imputes the dependent variable using daily subsamples, based on our careful investigation of asymptotic and finite sample properties of the estimators under the potential outcome framework. We apply the impute estimator to the ATUS and find substantially different elasticity estimates from the Current Population Survey, especially for married women.

中文翻译：

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什么时间使用调查可以（也不能）告诉我们关于劳动力供应的信息

美国时间使用调查 (ATUS) 准确衡量了一天的工作时间。我们在线性回归模型中提出了几个每周劳动力供应弹性的估计量，尽管由于 ATUS 的时间特定特征导致某些不可能的结果。我们推荐impute estimator，它是标准两阶段最小二乘估计量的简单修改，基于我们在潜在结果框架下对估计量的渐近和有限样本属性的仔细研究，使用每日子样本来估算因变量。我们将估算估计量应用于 ATUS，发现与当前人口调查的弹性估计有很大不同，特别是对于已婚妇女。