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Eliciting the Demand for Long Term Care Coverage: A Discrete Choice Modelling Analysis

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Author Info
Rinaldo Brau (University of Cagliari)
Matteo Lippi Bruni (University of Bologna)

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Abstract

We evaluate the demand for long term care (LTC) insurance prospects in a stated preference context, by means of the results of a choice experiment carried out on a representative sample of the Emilia-Romagna population. Choice modelling techniques have not been used yet for studying the demand for LTC services. In this paper these methods are first of all used in order to assess the relative importance of the characteristics which define some hypothetical insurance programmes and to elicit the willingness to pay for some LTC coverage prospects. Moreover, thanks to the application of a nested logit specification with ‘partial degeneracy’, we are able to model the determinants of the preference for status quo situations where no systematic cover for LTC exists. On the basis of this empirical model, we test for the effects of a series of socio-demographic variables as well as personal and household health state indicators.

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Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number 2006.71.

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Date of creation: May 2006
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Handle: RePEc:fem:femwpa:2006.71

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Related research
Keywords: Health Insurance; Long Term Care; Choice Experiments; Nested Logit Models;

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Find related papers by JEL classification:
I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
H40 - Public Economics - - Publicly Provided Goods - - - General
C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models

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    Other versions:
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