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Published on 01 January 2021 |

Version 1.0

Replication Data for: Improving health and economic security by reducing work schedule uncertainty

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Harknett, Kristen;Schneider, Daniel

Description

The datafile and code are available to replicate findings in the publication "Improving health and economic security by reducing work schedule uncertainty" and the accompanying Supplemental Information Appendix. Abstract: Work schedules in the service sector are routinely unstable and unpredictable, and this unpredictability may have harmful effects on health and economic insecurity. However, because schedule unpredictability often coincides with low wages and other dimensions of poor job quality, the causal effects of unpredictable work schedules are uncertain. Seattle’s Secure Scheduling ordinance, enacted in 2017, mandated greater schedule predictability, providing an opportunity to examine the causal relationship between work scheduling and worker health and economic security. We draw on pre- and postintervention survey data from workers in Seattle and comparison cities to estimate the impacts of this law using a difference-in-differences approach. We find that the law had positive impacts on workers’ schedule predictability and stability and led to increases in workers’ subjective well-being, sleep quality, and economic security. Using the Seattle law as an instrumental variable, we also estimate causal effects of schedule predictability on well-being outcomes. We show that uncertainty about work time has a substantial effect on workers’ well-being, particularly their sleep quality and economic security.

Citations (1)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

15%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Harvard Dataverse

Assigned Domain

Subfield

Radiological and Ultrasound Technology

Field

Health Professions

Domain

Health Sciences

Confidence Score

80%

Source

Open Alex

Keywords

Social Sciences

Normalization Factors

FT

88.46

CTw

1.00

MTw

1.00