Time Use and Labor Productivity: The Returns to Sleep
利用美国时间使用数据，研究睡眠如何影响劳动生产率，发现睡眠增加能提高收入，短期每周多睡1小时收入增1.1%，长期增5%。
Abstract We investigate how the largest use of time—sleep—affects productivity. Time use data from the United States allow us to test a model in which sleep improves productivity. Consistent with theory, we find sleep is more complementary to home production than to leisure for nonemployed individuals. We then show that later sunset time reduces worker sleep and earnings. After ruling out alternative hypotheses, we implement an instrumental variables specification that provides causal estimates of the impact of sleep on earnings. A 1-hour increase in location-average weekly sleep increases earnings by 1.1% in the short run and 5% in the long run.