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Related Experiment Videos

Evaluating consumer preference for private long-term care insurance.

T G Noordewier, D Rogers, P V Balakrishnan

    Journal of Health Care Marketing
    |November 5, 1989
    PubMed
    Summary
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    Understanding consumer preferences for private long-term care insurance is crucial. This study reveals how specific policy features influence consumer choices, aiding market development.

    Area of Science:

    • Health Economics
    • Consumer Behavior Research
    • Insurance Market Analysis

    Background:

    • The private long-term care insurance market has expanded significantly.
    • Empirical research on consumer preferences for long-term care insurance attributes is limited.
    • Understanding consumer choices is vital for market growth and policy design.

    Purpose of the Study:

    • To investigate how different attributes of private long-term care insurance policies influence consumer preferences.
    • To quantify the utility values consumers place on various policy features.
    • To determine the overall importance of these attributes to consumers.

    Main Methods:

    • Employed conjoint analysis techniques to assess consumer preferences.
    • Estimated utility values for distinct levels of long-term care policy attributes.

    Related Experiment Videos

  • Utilized a simulation procedure to predict consumer preferences for specific policy types.

    • Main Results:

    • Identified and quantified the utility values associated with various long-term care insurance policy attributes.
    • Determined the relative importance of different policy features in consumer decision-making.
    • Simulated consumer preferences, estimating the market share for distinct policy configurations.

    Conclusions:

    • Policy attributes significantly impact consumer preferences for private long-term care insurance.
    • The findings provide valuable insights for insurers in designing attractive long-term care policies.
    • This research offers a framework for understanding and predicting consumer choices in the long-term care insurance market.