The Influence of Muslim and Christian Destinations on Tourists' Behavioural Intentions and Risk Perceptions.

This paper studies the factors that influence tourists' risk perceptions of various destinations with different attributes and sociocultural profiles. Factor analysis is utilised to investigate the determinants of risk perceptions, finding that they are influenced both by the type of risk (delinquency, health, accident, environment and catastrophe) and by the characteristics of the destination regarding the management of risk. Structural equations modelling is conducted to study the relationships between risk perceptions, destination image and visiting intentions across destinations. Multi-group analysis across different destinations proves that tourists' risk perceptions have different influences on destination image and visiting intentions. The results show that there are significant differences according to the predominant religion at the destinations, i.e., Muslin and Christian. The implication is that different dimensions of perceived risks and destination socio-culture contexts have different influences on the behaviour of tourists.

Emotions and decision rules in discrete choice experiments for valuing health care programmes for the elderly.

The evaluation of health care programmes is commonly approached with stated preference methods such as contingent valuation or discrete choice experiments. These methods provide useful information for policy decisions involving health regulations and infrastructures for health care. However, econometric modelling of these data usually relies on a number of maintained assumptions, such as the use of the compensatory or random utility maximization rule. On the other hand, health policy issues can raise emotional concerns among individuals, which might induce other types of choice behaviour. In this paper we consider potential deviations from the general compensatory rule, and how these deviations might be explained by the emotional state of the subject. We utilized a mixture econometric model which allows for various potential decisions rules within the sample, such as the complete ignorance, conjunctive rule and satisfactory rules. The results show that deviations from the full linear compensatory decision rule are predominant, but they are significantly less observed for those subjects with a medium emotional state about the issue of caring for the health state of the elderly. The implication is that the emotional impact of health policy issues should be taken into account when making assumptions of individual choice behaviour in health valuation methods.

The effect of medical experience on the economic evaluation of health policies. A discrete choice experiment.

In this paper we present results on the effect of medical experience on the economic evaluation of health policies utilizing the method of discrete choice experiments. Subjects in two split samples were asked about choice situations involving alternative profiles defined by the attributes of an innovative program for cervical cancer screening. The first sample was formed by expert medical practitioners who were familiar with the illness and its potential treatments. A second sample was formed by young undergraduate students in social sciences who were not familiar with the illness or with the potential benefits of screening programmes. The statistical comparison between both subsamples utilizes a robust method for discrete choice models which shows that there are no significant differences in the structural models and the parameter estimates. The main implication is that background medical information and familiarity with the process of illness might not have a relevant impact on the valuation of health policies with discrete choice experiments.

Willingness to pay for alternative policies for patients with Alzheimer's Disease.

This paper focuses on eliciting the willingness to pay (WTP) for policy measures aimed at improving the health care offered to patients suffering from Alzheimer's disease (AD). We utilize a discrete choice experiment (DCE) approach for the elicitation of the preferences of the general population for three alternative policies: home care, day care centres, and medium or long-stay centres. The results show that these policies are significantly valued across the surveyed population. The monthly WTP per hour of home care is estimated as 4 euros per individual, while the monthly WTP values for full population coverage in day centres and medium-long-stay centres are estimated as 0.43 euros and 0.42 euros respectively. We compare the results of classical and Bayesian estimation methods, and conclude that the latter provide a better representation of the heterogeneity in the sample. The results are significant for health care, as they enable policymakers to identify the social demand for such services, as well as the relative economic values placed on the alternative policy measures.

Economic evaluation of health effects with preference imprecision.

The estimation of economic benefits of health effects through direct methods, such as contingent valuation, presents the problem of preference imprecision. This paper deals with this problem by proposing an elicitation method that allows the subject to state an interval for willingness to pay, without inducing any specific amount as a response. The paper also analyzes the effects of the context where changes in health occur on the associated imprecision level and the estimates, by comparing a situation without context with another in which effects are due to atmospheric pollution. The econometric modelling develops a Bayesian estimation method for censored intervals, which models the existing uncertainty between the lower and upper limits derived from the elicitation process. Results prove that data dispersion is significantly higher for the non-contextual scenario, and increases for the most severe symptoms.

Willingness to pay for health risk reduction in the context of altruism.

This paper presents results on the valuation of health risks in the presence of altruism. The contingent valuation method is utilised in a split sample experiment for estimating the private and public values in reducing the risk of flu. Data modelling for the dichotomous choice method follows a Bayesian approach, which accounts for zero responses and is adequate for the comparison of small sample results. The results of the experiment suggest that altruism is a positive component in the value of reducing the probability of flu, which depends positively on the number of days involved, the health status and the personal income of the subject. The marginal value of risk is found to be a decreasing function of the reduction in the probability of becoming ill.