Uncertain Altruism and Non-Linear Long-Term Care Policies

31 Pages Posted: 24 Aug 2018

See all articles by Chiara Canta

Chiara Canta

NHH Norwegian School of Economics - Department of Economics

Helmuth Cremer

University of Toulouse (GREMAQ & IDEI); Centre for Economic Policy Research (CEPR); CESifo (Center for Economic Studies and Ifo Institute)

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Date Written: June 28, 2018

Abstract

We study the design of public long-term care (LTC) insurance when the altruism of informal caregivers is uncertain. We consider non-linear policies where the LTC benefit depends on the level of informal care, which is assumed to be observable while children’s altruism is not. The traditional topping up and opting out policies are special cases of ours. Both total and informal care should increase with the children’s level of altruism. This obtains under full and asymmetric information. Social LTC, on the other hand, may be non-monotonic. Under asymmetric information, social LTC is lower than its full information level for the lowest level of altruism, while it is distorted upward for the higher level of altruism. This is explained by the need to provide incentives to high-altruism children. The implementing contract is always such that social care increases with formal care.

Keywords: long term care, uncertain altruism, private insurance, public insurance, topping up, opting out

JEL Classification: H200, H500

Suggested Citation

Canta, Chiara and Cremer, Helmuth, Uncertain Altruism and Non-Linear Long-Term Care Policies (June 28, 2018). CESifo Working Paper Series No. 7129, Available at SSRN: https://ssrn.com/abstract=3235287 or http://dx.doi.org/10.2139/ssrn.3235287

Chiara Canta

NHH Norwegian School of Economics - Department of Economics ( email )

Helleveien 30
N-5035 Bergen
Norway

Helmuth Cremer (Contact Author)

University of Toulouse (GREMAQ & IDEI) ( email )

Toulouse, 31000
France
+33 1 6112 8606 (Phone)
+33 1 6112 8637 (Fax)

Centre for Economic Policy Research (CEPR)

London
United Kingdom

CESifo (Center for Economic Studies and Ifo Institute)

Poschinger Str. 5
Munich, DE-81679
Germany

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