Literature DB >> 27765280

The design of long term care insurance contracts.

Helmuth Cremer1, Jean-Marie Lozachmeur2, Pierre Pestieau3.   

Abstract

This paper studies the design of long term care (LTC) insurance contracts in the presence of ex post moral hazard. While this problem bears some similarity with the study of health insurance (Blomqvist, 1997) the significance of informal LTC affects the problem in several crucial ways. It introduces the potential crowding out of informal care by market care financed through insurance coverage. Furthermore, the information structure becomes more intricate. Informal care is not publicly observable and, unlike the insurer, caregivers know the true needs of their relatives. We determine the optimal second-best contract and show that the optimal reimbursement rate can be written as an A-B-C expression à la Diamond (1998). These terms respectively reflect the efficiency loss as measured by the inverse of the demand elasticity, the distribution of needs and the preferences for risk sharing. Interestingly, informal care directly affects only the first term. More precisely the first term decreases with the presence and significance of informal care. Roughly speaking this means that an efficient LTC insurance contract should offer lower (marginal) reimbursement rates than its counterpart in a health insurance context. Copyright Â
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Crowding-out; Ex-post moral hazard; Informal care; Long term care; Private insurance; Public insurance

Mesh:

Year:  2016        PMID: 27765280     DOI: 10.1016/j.jhealeco.2016.08.008

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  1 in total

1.  The crowd-out effect of a mass casualty incident: Experience from a dust explosion with multiple burn injuries.

Authors:  Chih-Jen Yang; Shih-Hung Tsai; Wu-Chien Chien; Chi-Hsiang Chung; Niann-Tzyy Dai; Yuan-Sheng Tzeng; Sy-Jou Chen; Ding-Chung Wu; Cheng-Jueng Chen
Journal:  Medicine (Baltimore)       Date:  2019-05       Impact factor: 1.817

  1 in total

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