International audiencePersonal health related information modifies individuals’ willingness to pay for disease prevention programs inasmuch as it allows health status assessment based on intrinsic (instead of average) characteristics. In this paper, we examine the effect that personalized information about the baseline probability of disease has on the average willingness to pay for programs reducing either the probability of disease (self-protection) or the severity of disease (self-insurance). We show that such information raises the average willingness to pay for self-protection while it increases the average willingness to pay for self-insurance if health and wealth are complements (i.e. the marginal utility of wealth rises with health)
International audienceWe present an integrated valuation model for diseases that are life-threatenin...
We develop a model where consumers do not have ex-ante private information on their risk but can dec...
International audienceWe present an integrated valuation model for diseases that are life-threatenin...
International audienceWhen receiving personalized rather than population-based information, agents i...
Both actual and expected morbidity systematically affect individuals’ demands for both life-saving p...
BACKGROUND New health technologies and data offer tailored prevention and spot-on treatments, which ...
This research examines how consumers use base rate (e.g., disease prevalence in a population) and ca...
In this paper, we analyze the choice of primary prevention made by individuals who bear a risk of b...
Both adverse selection and moral hazard models predict a positive relationship between risk and insu...
International audienceWe present an integrated valuation model for diseases that are life-threatenin...
International audienceWe present an integrated valuation model for diseases that are life-threatenin...
We develop a model where consumers do not have ex-ante private information on their risk but can dec...
This dissertation addresses the costs imposed upon an individual health insurance market (IHIM) when...
This dissertation addresses the costs imposed upon an individual health insurance market (IHIM) when...
International audienceWe present an integrated valuation model for diseases that are life-threatenin...
International audienceWe present an integrated valuation model for diseases that are life-threatenin...
We develop a model where consumers do not have ex-ante private information on their risk but can dec...
International audienceWe present an integrated valuation model for diseases that are life-threatenin...
International audienceWhen receiving personalized rather than population-based information, agents i...
Both actual and expected morbidity systematically affect individuals’ demands for both life-saving p...
BACKGROUND New health technologies and data offer tailored prevention and spot-on treatments, which ...
This research examines how consumers use base rate (e.g., disease prevalence in a population) and ca...
In this paper, we analyze the choice of primary prevention made by individuals who bear a risk of b...
Both adverse selection and moral hazard models predict a positive relationship between risk and insu...
International audienceWe present an integrated valuation model for diseases that are life-threatenin...
International audienceWe present an integrated valuation model for diseases that are life-threatenin...
We develop a model where consumers do not have ex-ante private information on their risk but can dec...
This dissertation addresses the costs imposed upon an individual health insurance market (IHIM) when...
This dissertation addresses the costs imposed upon an individual health insurance market (IHIM) when...
International audienceWe present an integrated valuation model for diseases that are life-threatenin...
International audienceWe present an integrated valuation model for diseases that are life-threatenin...
We develop a model where consumers do not have ex-ante private information on their risk but can dec...
International audienceWe present an integrated valuation model for diseases that are life-threatenin...