Alexandre Mas of Princeton University conducted a field experiment to measure workers' willingness to pay for alternative work arrangements. The study, sourced from paperswithcode, used a randomized application process at a national call center to offer choices between traditional schedules and alternatives like flexible scheduling, working from home, and employer-discretionary scheduling. The results were validated using a nationally-representative survey.
Use Cases
- Modeling compensating wage differentials based on willingness to pay for work-from-home options
- Analyzing gender differences in scheduling preferences, particularly for workers with young children
- Estimating the distribution of worker valuation for schedule flexibility versus predictability
- Studying aversion to evening and weekend work based on preferences for traditional schedules
Strengths
- Data is derived from a randomized field experiment, which suggests strong causal inference potential
- Results are validated using a nationally-representative survey
- The description provides specific willingness-to-pay estimates, such as 20% of wages to avoid employer-set schedules and 8% for work-from-home
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Data may reflect bias inherent to the specific call center and applicant pool used in the experiment
Provenance
- Source
- Princeton University
- Collection Method
- Field experiment with randomized wage offers during a call center application process, supplemented by a nationally-representative survey.
- Time Range
- null
- Freshness
- Last update date is unknown; freshness unverified
- Geography
- National (United States, inferred from 'national call center' and 'nationally-representative survey')