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Title: A Longitudinal Study of Piece Rate and Health: Evidence and Implications for Workers in the US Gig Economy
Resulting in 1 citation.
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Davis, Mary E. Hoyt, Eric |
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A Longitudinal Study of Piece Rate and Health: Evidence and Implications for Workers in the US Gig Economy Public Health 180 (March 2020): 1-9. Also: https://www.sciencedirect.com/science/article/pii/S0033350619303415 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Health, Chronic Conditions; Health/Health Status/SF-12 Scale; Modeling, Logit; Modeling, Random Effects; Performance pay; Wage Rates Methods: Data from six survey waves of the 1979 National Longitudinal Survey of Youth collected between 1988 and 2000 are used in a random-effects logit model to predict self-reported health limitations related to piece rate, while controlling for worker, work environment, lifestyle, time, and location trends. Results: Pay tied to piece rate in current or prior periods significantly increases the odds of self-reported health limitations compared with salaried work (odds ratio [OR]: 1.4-1.8). These effects are elevated for the subgroups of low-wage (OR: 1.5-1.8), female (OR: 1.8-1.9), and non-white (OR: 2.0-2.1) workers compared with their high-wage, male, and white peers. |
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Bibliography Citation
Davis, Mary E. and Eric Hoyt. "A Longitudinal Study of Piece Rate and Health: Evidence and Implications for Workers in the US Gig Economy." Public Health 180 (March 2020): 1-9.
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