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Dynamic modelling of long-term care decisions

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  • Michelle Sovinsky
  • Steven Stern

Abstract

This paper describes and analyzes research on the dynamics of long-term care and suggests directions for the literature to make progress. We discuss sources and causes of dynamics including inertia/state dependence (confounded by unobserved heterogeneity); match-specific effects; and costs of changing caregivers. We comment on causes of dynamics including learning/human capital accumulation; burnout; and game-playing. We suggest how to deal with endogenous geography; dynamics in discrete and continuous choices; and equilibrium issues (multiple equilibria, dynamic equilibria). Next, we evaluate the advantages of different potential data sources (NLTCS, PSID, AHEAD/HRS, SHARE, ELSA) and identify first order data problems including noisy measures of wealth and family structure. We suggest some methods to handle econometric problems such as endogeneity (work, geography) and measurement error. Finally, we discuss potential policy implications of dynamics including the effect of dynamics on parameter estimates and direct policy implications of inertia (implications for family welfare, parent welfare, child welfare, and cost of government programs).

Suggested Citation

  • Michelle Sovinsky & Steven Stern, 2013. "Dynamic modelling of long-term care decisions," ECON - Working Papers 113, Department of Economics - University of Zurich.
  • Handle: RePEc:zur:econwp:113
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    1. Ha Trong Nguyen & Luke B. Connelly, 2017. "The Dynamics of Informal Care Provision in an Australian Household Panel Survey: Previous Work Characteristics and Future Care Provision," The Economic Record, The Economic Society of Australia, vol. 93(302), pages 395-419, September.
    2. Rapp, Thomas & Apouey, Bénédicte H. & Senik, Claudia, 2018. "The impact of institution use on the wellbeing of Alzheimer's disease patients and their caregivers," Social Science & Medicine, Elsevier, vol. 207(C), pages 1-10.
    3. N. G. Glavatskaya (ed.), 2010. "Экономика Переходного Периода. Сборник Избранных Работ. 2003-2009," Books, Gaidar Institute for Economic Policy, edition 1, volume 1, number 1.

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    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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