Economics at your fingertips  

Wearable Technologies and Health Behaviors: New Data and New Methods to Understand Population Health

Benjamin Handel and Jonathan Kolstad

American Economic Review, 2017, vol. 107, issue 5, 481-85

Abstract: We 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.

JEL-codes: I11 I12 I18 (search for similar items in EconPapers)
Date: 2017
Note: DOI: 10.1257/aer.p20171085
References: Add references at CitEc
Citations Track citations by RSS feed

Downloads: (external link) (application/pdf) ... C31V39V8CmyGHEFyj2Zi (application/zip)
Access to full text is restricted to AEA members and institutional subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

Access Statistics for this article

American Economic Review is currently edited by Esther Duflo

More articles in American Economic Review from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().

Page updated 2018-06-15
Handle: RePEc:aea:aecrev:v:107:y:2017:i:5:p:481-85