Demand for environmentally friendly vehicles: A review and new evidence

Although the need for more environmentally friendly vehicles was recognized some decades ago, this new market has not yet established itself. Consumer behavior needs to be studied to ascertain when people will decide to purchase hybrid or electric vehicles rather than conventional ones. An in-depth review of the state-of-the-art has identified existing deficiencies and these are addressed in this paper, proposing a new approach that is applied to the case of Santander in Spain. Emphasis is placed on the role of citizens in researching the local market and their requirements with respect to such vehicles; our model assumes variability in user preferences, an utmost requirement as concluded from the literature review. Results suggest that the highest demand for cleaner vehicles would be achieved in two ways: firstly, by penalizing conventional vehicles in terms of costs/km; secondly, by providing incentives directed at lowering the purchasing price of hybrid and electric vehicles. Finally, as demand becomes more elastic, the preferred strategy should initially focus on hybrid vehicles.     

Comparison of four common data collection techniques to elicit preferences

We compare four common data collection techniques to elicit preferences: the rating of items, the ranking of items, the partitioning of a given amount of points among items, and a reduced form of the technique for comparing items in pairs. University students were randomly assigned a questionnaire employing one of the four techniques. All questionnaires incorporated the same collection of items. The data collected with the four techniques were converted into analogous preference matrices, and analyzed with the Bradley–Terry model. The techniques were evaluated with respect to the fit to the model, the precision and reliability of the item estimates, and the consistency among the produced item sequences. The rating, ranking and budget partitioning techniques performed similarly, whereas the reduced pair comparisons technique performed a little worse. The item sequence produced by the rating technique was very close to the sequence obtained averaging over the three other techniques.     

Hospital Mergers with Regulated Prices

We study the effects of a hospital merger in a spatial competition framework where semi‐altruistic hospitals choose quality and cost‐containment effort. Whereas a merger always leads to higher average cost efficiency, the effect on quality provision depends on the strategic nature of quality competition, which in turn depends on the degree of altruism and the effectiveness of cost‐containment effort. If qualities are strategic complements, then a merger leads to lower quality for all hospitals. If qualities are strategic substitutes, then a merger leads to higher quality for at least one hospital, and might also yield higher average quality provision and increased patient utility.     

Disability Insurance: Theoretical Trade-Offs and Empirical Evidence*

Disability insurance provides protection against health shocks that limit the ability to work. In most countries, these programmes are large and growing, both in expenditure and in number of recipients. We discuss the traditional trade-off between insurance and incentives in providing this insurance, with a focus on the US and UK experiences. There is substantial evidence on the extent of the labour supply incentive costs of disability insurance, but there has been a lack of evidence on the insurance value until very recently. Further, evidence on errors in the disability insurance process suggests false rejections of genuine claimants is a substantial problem, and these are more serious than false acceptances of healthy applicants. We provide a life-cycle framework for understanding the trade-offs and to evaluate the welfare implications of policy reforms. We argue that reforms should be focused on reducing false rejections and supporting labour market attachment. The difficulty in considering reform is that the design of disability insurance has many aspects that interact and impact on outcomes.     

Hospital cost sharing incentives: evidence from Iceland

Hospitals’ incentives to provide health care are influenced by the degree of cost sharing between the purchaser and the provider. In most OECD countries, governments remunerate hospitals according to the activity performed. Activity is usually measured through a diagnosis related groups (DRGs) system. This study estimates the degree of cost sharing of the NordDRG classification system (the DRG version of the Nordic countries) in Iceland during 2003–2005. We first apply ordinary least square (OLS) methods to estimate the degree of cost sharing by regressing the price for each individual patient against its cost. Second, we propose an instrumental-variable approach to address the potential endogeneity of costs. The OLS estimates suggest that the degree of cost sharing is in the range 0.16–0.17 (i.e. 1$ increase in cost is associated with an increase in reimbursement by 0.16–0.17$ increase in cost is associated with an increase in reimbursement by 0.16–0.17). The instrumental-variable approach provides some evidence of endogeneity, and suggests that cost sharing is overestimated by OLS. The instrumented estimates of cost sharing are 0.11, 0.13 and 0.14 in 2003, 2004 and 2005, respectively. Regardless of the method applied, most cost sharing is associated with the retrospective features of the classification system (such as the type of treatment provided).     

How does public service motivation affect teacher self-reported performance in an education system? Evidence from an empirical analysis in Italy

Quality & Quantity - This paper deals with self-reported teacher performance, and the starting point is the relationship between teacher performance and the main determining factor, public...     

Density Nowcasts and Model Combination: Nowcasting Euro‐Area GDP Growth over the 2008–09 Recession*

Combined density nowcasts for quarterly Euro‐area GDP growth are produced based on the real‐time performance of component models. Components are distinguished by their use of ‘hard’ and ‘soft’, aggregate and disaggregate, indicators. We consider the accuracy of the density nowcasts as within‐quarter indicator data accumulate. We find that the relative utility of ‘soft’ indicators surged during the recession. But as this instability was hard to detect in real‐time it helps, when producing density nowcasts unknowing any within‐quarter ‘hard’ data, to weight the different indicators equally. On receipt of ‘hard’ data for the second month in the quarter better calibrated densities are obtained by giving a higher weight in the combination to ‘hard’ indicators.