Wearable Technologies and Health Behaviors: New Data and New Methods to Understand Population Health
- (pp. 481-85)
AbstractWe study a randomized control trial in a large employer population of access to "wearable" technologies and the associated planning and monitoring tools on improved health behaviors (sleep and exercise). Both ITT and IV estimates based on actual plan enrollment for the treatment group suggest statistically significant but economically small changes in behavior after three months. We then implement machine learning-based models to assess treatment effect heterogeneity. We find little evidence for heterogeneous treatment effects base on observables. We also present detailed data on sleep patterns underscoring the value of this new data source to researchers.
CitationHandel, Benjamin, and Jonathan Kolstad. 2017. "Wearable Technologies and Health Behaviors: New Data and New Methods to Understand Population Health." American Economic Review, 107 (5): 481-85. DOI: 10.1257/aer.p20171085
- I11 Analysis of Health Care Markets
- I12 Health Behavior
- I18 Health: Government Policy; Regulation; Public Health