Field | Before | After |
---|---|---|
Field Trial Status | Before in_development | After completed |
Field Last Published | Before December 11, 2017 02:40 PM | After June 05, 2021 03:41 PM |
Field Study Withdrawn | Before | After No |
Field Intervention Completion Date | Before | After April 23, 2019 |
Field Data Collection Complete | Before | After Yes |
Field Final Sample Size: Number of Clusters (Unit of Randomization) | Before | After 452 participants |
Field Was attrition correlated with treatment status? | Before | After No |
Field Final Sample Size: Total Number of Observations | Before | After 8,454 participant-nights |
Field Final Sample Size (or Number of Clusters) by Treatment Arms | Before | After Control - 152, Devices + Encouragement - 150, Devices + Incentives - 150 |
Field Public Data URL | Before | After https://doi.org/10.7910/DVN/GJ9QPC |
Field Is there a restricted access data set available on request? | Before | After No |
Field Program Files | Before | After Yes |
Field Program Files URL | Before | After https://doi.org/10.7910/DVN/GJ9QPC |
Field Data Collection Completion Date | Before | After April 23, 2019 |
Field Is data available for public use? | Before | After Yes |
Field Keyword(s) | Before Health, Labor, Welfare | After Health, Labor, Welfare |
Field | Before | After |
---|---|---|
Field Paper Abstract | Before | After The urban poor in developing countries face challenging living environments, which may interfere with good sleep. Using actigraphy to measure sleep objectively, we find that low-income adults in Chennai, India, sleep only 5.5 hours a night on average despite spending 8 hours in bed. Their sleep is highly interrupted, with sleep efficiency—sleep per time in bed—comparable to those with disorders such as sleep apnea or insomnia. A randomized three-week treatment providing information, encouragement, and improvements to home sleep environments increased sleep duration by 27 minutes a night by inducing more time in bed. Contrary to expert predictions and a large body of sleep research, increased nighttime sleep had no detectable effects on cognition, productivity, decision making, or well being, and led to small decreases in labor supply. In contrast, short afternoon naps at the workplace improved an overall index of outcomes by 0.12 standard deviations, with significant increases in productivity, psychological well-being, and cognition, but a decrease in work time. |
Field Paper Citation | Before | After Pedro Bessone, Gautam Rao, Frank Schilbach, Heather Schofield, Mattie Toma, The Economic Consequences of Increasing Sleep Among the Urban Poor, The Quarterly Journal of Economics, 2021;, qjab013, https://doi.org/10.1093/qje/qjab013 |
Field Paper URL | Before | After https://doi.org/10.1093/qje/qjab013 |