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. In this paper, these methods are first of all used in order to assess the relative importance of the characteristics that define 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.
M. Lippi Bruni, R. Brau (2008). Eliciting the demand for long-term care coverage: a discrete choice modelling analysis. HEALTH ECONOMICS, 17 (3), 411-433.
Eliciting the demand for long-term care coverage: a discrete choice modelling analysis.
LIPPI BRUNI, MATTEO;
2008
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. In this paper, these methods are first of all used in order to assess the relative importance of the characteristics that define 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.