Long term care insurance with state-dependent preferences

Area of Science:

• Behavioral Economics
• Health Economics
• Insurance Markets

Background:

• Long Term Care (LTC) insurance is crucial for aging populations.
• The demand for LTC insurance presents a puzzle, with incomplete uptake observed.
• Existing models struggle to explain why individuals do not fully insure against LTC needs.

Purpose of the Study:

• To model the demand for Long Term Care (LTC) insurance with state-dependent preferences.
• To address the Long Term Care Insurance (LTCI) puzzle and explain incomplete insurance uptake.
• To analyze the impact of income and preferences on LTCI demand.

Main Methods:

• Agent-based optimization of consumption and insurance.
• Equilibrium analysis of insurance markets.
• Focus on iso-elastic preferences to model LTC expenditure sensitivity.

Main Results:

• Agents optimally choose partial insurance, not full coverage, resolving the LTCI puzzle.
• LTC insurance demand does not necessarily increase with income.
• State-dependent preferences are essential to explain observed insurance behavior.

Conclusions:

• State-dependent preferences are key to understanding Long Term Care (LTC) insurance demand.
• LTC expenditures are income-inelastic, and LTCI as a fraction of income decreases with income.
• Optimal insurance coverage for LTC is partial, with demand diminishing at higher income levels.