Debt Literacy and Debt Literacy Self‐Assessment: The Case of Poland

It is well documented that financial literacy is at best moderate around the world and that the cost of ignorance in this field may be high on both microeconomic and macroeconomic levels. We surveyed a representative sample of Poles to measure their debt literacy—a little‐studied aspect of financial literacy—and therefore obtain insight into the factors predicting it. Our study evidenced low levels of debt literacy and its overestimation by respondents in their self‐reports. We also confirmed some of the patterns found in former studies, including the gender gap and a positive relationship between the level of educational attainment and debt literacy. Finally, our examination provides compelling outcomes with regard to the segmentation of the sample on the basis of objective and subjective debt literacy scores. They show large heterogeneity of debt literacy and thus confirm the need for far‐reaching customization of debt‐oriented education.     

Allocation of public funds to R&;D: a portfolio choice-styled decision model and a biotechnology case study

A decision problem—allocating public research and development (R&D) funding—is faced by a planner who has ambiguous knowledge of welfare effects of the various research areas. We model this as a reverse portfolio choice problem faced by a Bayesian decision-maker. Two elements of the planner’s inferential system are developed: a conditional distribution of welfare ‘returns’ on an allocation, given stated preferences of citizens for the different areas, and a minimum risk criterion for re-allocating these funds, given the performance of a status quo level of funding. A case study of Canadian public research funds expended on various applications of agricultural biotechnology is provided. The decision-making methodology can accommodate a variety of collective expenditure and resource allocation problems.     

Consumer's Responses to the Potential Use of Bovine Somatotrophin in Canadian Dairy Production

The responses of a random sample of consumers to the use of recombinant somatotrophin (rBST) in milk production were elicited using a stated preference methodology. A conditional logit model of consumer choice was developed and tested to analyze consumers' choices of milk with varying characteristics of fat content, price, freshness and rBST treatment. Welfare calculations for a representative consumer indicate welfare losses with the introduction of rBST. Welfare losses were slightly less for a male than a female household food purchaser and were less for food purchasers with higher levels of income and education. There was a small welfare gain when the representative food purchaser was offered a full range of “rBST” and “wn-rBST” milks. The resiilts suggest that making appropriately labelled “rBST-free” milk available to consumers could decrease consumer welfare losses associated with the introduction of rBST in Canada. Nous avons évalueé par une méthodologie des préférences déclarées les réponses d'un panel de consommateurs choisis au hasard envers l'utilisation de somatotropine bovine recombinante (rBst) dans la production laitière. Un modèle logit conditionnel des choix du consommateur est testé pour analyser les choix à la consommation à l'égard de laits de divers niveaux de teneur en matière grasse, de prix et de fraîcheur et provenant ou pas de vaches traitées à la rBst. Les coûts sociaux pour le consommateur représentatif font voir des pertes éonomiques avec l'introduction de la rBst. Ces pertes étaient légèrement moins importantes lorsque l'acheteur d'aliments pour le ménage était un homme plutôt qu'une femme ou que son niveau d'éducation et de revenu était plus élevé. On observait un léger avan-tage économique lorsque le pourvoyeur du ménage représentatif avait accès à toute la gamme des laits avec et sans rBst. Il ressort de ces observations qu'une indication Claire de l'absence de rBst dans le lait sur l'étiquette des produits offerts à la consommation pourrait diminuer les pertes économiques résultant pour le consommateur de l'introduction de la rBst au Canada.     

Implications of Realization Uncertainty on Random Utility Models: The Case of Lottery Rationed Hunting

Conditional multinomial logit (MNL) models are often used to estimate the value of nonmarket resources under the assumption that consumer choices will be realized with certainty. The conditional MNL may not be appropriate when choices made may not be realized with certainty, such as when rationing mechanisms are used as a means of managing nonmarket resources. Two models that address this issue, developed by Boxall (1995) and Rouwendal (1989), are compared here to estimate welfare measures for moose hunting in Newfoundland. The results from these two models differ significantly from the results of a simple conditional MNL model .
Les modèles logit multinomiaux conditionnels (MNL) sont souvent utiliés pour calculer la valeur de ressources non marchandes, dans une hypothèse de départ voulant que les choir du consommateur sont assurés d'être réalisés. Ce genre de modèle peut toutefois ne pas convenir lorsque les choix fait ne sont pas assurés d'être pleinement réalisés, comme dans les cas où des mécanismes de rationnement sont imposés comme moyen de gérer ces ressources non marchandes. Nous comparons deux modèles conçus et mis au point, l'un par Boxall (1995), l'autre par Rouwendal (1989), pour estimer les mesures des effets socio-économiques d'une réglementation de la chasse de l'orignal a Terre-Neuve. Il apparaêt que ces deux modèles aboutissent à des résultats significativement différents de ceux obtenus par un modèle MNL conditionnet simple .     

The Effect of Risk Characteristics on the Willingness to Pay for Mortality Risk Reductions from Electric Power Generation

The objective of this study is to estimate willingness to pay (WTP) for the reduction of mortality risks caused by fossil fuel (natural gas, coal and oil) versus nuclear electric power generation systems and to examine the influence of risk characteristics involved with electric power generation on WTP. A choice experiment was conducted to achieve these objectives. The attributes for nuclear risks in the experiment included the probability of disasters and the expected losses if a disaster occurs. We find evidence of (i) a baseline effect (where WTP is sensitive to hypothetical versus actual baseline expected mortality); (ii) a ‘labeling effect,’ where, surprisingly, the term ‘nuclear’ has no effect on WTP, but the term ‘fossil-fueled power generation’ results in lower WTP; and (iii) disaster aversion, meaning that people focus on the conditional loss from a nuclear disaster, not the probability. We also find that the WTP for reducing deaths from a nuclear disaster is about 60 times the WTP for routine reducing fossil-fuel generation-related deaths.     

Serial Nonparticipation in Repeated Discrete Choice Models

We consider alternative econometric strategies for addressing serial nonparticipation, that is, repeated choice of the same alternative or same type of alternative across a series of choice occasions, in data typically analyzed within the repeated discrete choice framework. Single and double hurdle variants of the repeated discrete choice model are developed and applied to choice experiment and multisite seasonal recreation demand data. Our results suggest that hurdle models can generate significant improvements in statistical fit and qualitatively different policy implications, particularly in choice experiment applications where the proper treatment of serial nonparticipation is relatively more ambiguous.