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Causes of Caregiver Turnover and the Potential Effectiveness of Wage Subsidies for Solving the Long-Term Care Workforce 'Crisis'

Author

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  • Powers Elizabeth T

    (University of Illinois at Urbana-Champaign)

  • Powers Nicholas J

    (njpowers@yahoo.com)

Abstract

Detailed data on private providers of long-term community-based residential services for persons with developmental disabilities permit investigation of the causes of frontline worker turnover. The endogeneity of turnover with compensation variables is accounted for in the estimation using instrumental variables. Turnover is determined by resident characteristics, frontline-worker compensation, and establishment characteristics. The share of higher-need residents and agency size predict higher turnover, while compensation and non-profit status are associated with lower turnover. Our findings indicate that public policies to reduce turnover through compensation subsidization can be effective. Our preferred estimates suggest an approximate one-quarter increase in total compensation would cut turnover by one-third.

Suggested Citation

  • Powers Elizabeth T & Powers Nicholas J, 2010. "Causes of Caregiver Turnover and the Potential Effectiveness of Wage Subsidies for Solving the Long-Term Care Workforce 'Crisis'," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-30, January.
    • Handle: RePEc:bpj:bejeap:v:10:y:2010:i:1:n:5
    DOI: 10.2202/1935-1682.2277
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    References listed on IDEAS

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    Cited by:

    1. Soonae Park & Byung-Yeon Kim & Wonchang Jang & Kyung-Min Nam, 2014. "Imperfect information and labor market bias against small and medium-sized enterprises: a Korean case," Small Business Economics, Springer, vol. 43(3), pages 725-741, October.
    2. Baughman Reagan, 2018. "Employment in Long-Term Care: The Role of Macroeconomic Conditions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 18(4), pages 1-12, October.
    3. Shinya Sugawara, 2013. "An Interval Regression Analysis for Tenures of Japanese Elder Care Workers Using Matched Employer-Employee Data," CIRJE F-Series CIRJE-F-887, CIRJE, Faculty of Economics, University of Tokyo.
    4. Xiao-yuan Dong & Jin Feng & Yangyang Yu, 2014. "Relative Pay and its Underlying Determinants for Domestic Eldercare Workers in Urban China," Departmental Working Papers 2014-01, The University of Winnipeg, Department of Economics.
    5. Reagan A. Baughman & Kristin E. Smith, 2012. "Labor Mobility Of The Direct Care Workforce: Implications For The Provision Of Long‐Term Care," Health Economics, John Wiley & Sons, Ltd., vol. 21(12), pages 1402-1415, December.

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