Nuestros investigadores

José Luis Pinto Prades

Publicaciones científicas más recientes (desde 2010)

Autores: Robinson, A. ; Spencer, A. E. ; Pinto, José Luis; et al.
ISSN 0272-989X  Vol. 37  Nº 3  2017  págs. 273 - 284
There is recent interest in using discrete choice experiments (DCEs) to derive health state utility values, and results can differ from time tradeoff (TTO). Clearly, DCE is "choice based,'' whereas TTO is generally considered a "matching'' task. We explore whether procedural adaptations to the TTO, which make the method more closely resemble a DCE, make TTO and choice converge. In particular, we test whether making the matching procedure in TTO less "transparent'' to the respondent reduces disparities between TTO and DCE. We designed an interactive survey that was hosted on the Internet, and 2022 interviews were achieved in the United Kingdom in a representative sample of the population. We found a marked divergence between TTO and DCE, but this was not related to the "transparency'' of the TTO procedure. We conclude that a difference in the error structure between TTO and choice and that factors other than differences in utility are affecting choices is driving the divergence. The latter has fundamental implications for the way choice data are analyzed and interpreted.
Autores: Brey, R; Pinto, José Luis;
ISSN 1618-7598  Vol. 18  Nº 7  2017  págs. 921 - 932
We provide more evidence on the functional relationship between willingness-to-pay for risk reductions and age (the senior discount). We overcome many of the limitations of previous literature that has dealt with this issue, namely, the influence of the assumptions used in statistical models on the final results. Given our large sample size (n = 6024) we can use models that are very demanding on data. We use parametric (linear, quadratic, dummies), semi-nonparametric, and non-parametric models. We also compare the marginal and the total approach and show that they provide similar results. We also overcome one of the limitations of the total approach, that is, we include the effects of socioeconomic characteristics that are correlated with age (education and income). Our main result is that all these different approaches produce very similar results, namely, they show an inverted-U relation between the value of a statistical life (VSL) and age. Those results can hardly be attributed to problems of collinearity, omitted variables or statistical assumptions. We find a clear senior discount effect. This effect seems concentrated on those who have lower education and income levels. We also find that the value of a statistical life year (VSLY) increases with age.
Autores: Ramos Goni, J. M.; Craig, B. M. ; Oppe, M. ; et al.
ISSN 1098-3015  Vol. 19  Nº 7  2016  págs. A376 - A376