Valentino Dardanoni

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This paper provides an analysis of the effects of uncertainty on the demand for medical care using a simplified version of Grossman's human capital model of the demand for health. Two types of uncertainty are analysed: the uncertainty surrounding the incidence of illness and the uncertainty surrounding the effectiveness of medical care. In the first the(More)
JEL classification: C12 C13 C19 Keywords: Missing covariates Imputations Bias-precision trade-off Model reduction Model averaging BMI and income a b s t r a c t A common problem in applied regression analysis is that covariate values may be missing for some observations but imputed values may be available. This situation generates a trade-off between bias(More)
In chronic hepatitis C, transient elastography (TE) accurately identifies cirrhosis, but its ability to assess significant fibrosis (Metavir > or = F2) is variable. Constitutional and liver disease-related factors may influence TE and here we examined the variables associated with differences. Three hundred consecutive hepatitis C virus (HCV)-RNA positive(More)
As it has become increasingly recognized that inequalities in health stem more from inequalities in wealth, rather than from inequalities in access to medical care, economists have begun to suggest that Michael Grossman's model of the demand for health may be a useful analytical framework for investigating the issue. Ironically, the more popular of(More)
The aim of this paper is to test for stochastic monotonicity in intergenerational socioeconomic mobility tables. In other words we question whether having a parent from a high socioeconomic status is never worse than having one with a lower status. Using existing inferential procedures for testing unconditional stochastic monotonicity, we first test a set(More)