Blockchain and cryptocurrencies: economic and financial research

Decisions in Economics and Finance - The motivation of proposing and editing the Special Issue “Blockchain and cryptocurrencies” came from the inspirational invited and contributed...     

The Effect of Providing Monetary Information on Energy Savings for Household Appliances: A Field Trial in Spain

Journal of Consumer Policy - Energy labels are one of the most widely used policies in the European Union for increasing the energy efficiency of household appliances. However, their effectiveness...     

社区医疗服务费用控制方式探讨

本文通过国内外医疗费用控制方式的比较研究,分析了我国城市社区居民医疗费用急剧增长的原因及其可能带来的后果;阐明了医疗费用控制的主体取决于医疗费用的支付主体,医疗费用控制的方式,即基于纵向一体化的医疗保险与社区医疗服务合并,可以有效规制外生的交易成本,控制医疗费用的增长,降低医疗保险的风险成本并提高社区医疗资源的配置效率和社会利用效率。     

Empirical approach to the analysis of university student absenteeism: proposal of a questionnaire for students to evaluate the possible causes

Works on student absenteeism in the universities have not been preferential for the authors in the field of educational research. Usually, what has been made is an approach to the available absenteeism data as an intervening variable or as a variable characteristic of the educational process, but not as a dependent variable in the strict sense of the term. In this work, we intend to make an empirical approach to the possible reasons of student absenteeism. There is a double point of view: the students’ and the professors’; the reasons that justify it according to its protagonists are studied. This paper focuses on the six university degrees taught at the School of Economy and Business of the University of Barcelona (Facultat d’Economia i Empresa de la Universitat de Barcelona). An “ad-hoc” questionnaire has been prepared and the opinions of 1,162 undergraduates have been analyzed. The reasons given by each population differ in hierarchy and motivations.     

The relationship between awareness of road safety measure and accident involvement in pre-drivers: the basis of a road safety programme

Objectives: This research aims to carry out a first validation of the QAR-Precon screening questionnaire applied in Catalonia during the drivers’ initial training, analyse the differences in risky road user behaviour according to two main variables: whether they had any experience of an accident and sex and examine the different risky road user patterns of pre-drivers. Methods: In order to group the questionnaire variables together, an exploratory factorial analysis (principal component analysis (PCA)) was used. Subsequently, the reliability coefficients of the questionnaire and the subscales were calculated. Lastly, ANOVA models were used to compare differences in the whole sample and a cluster analysis was performed to identify different risky pre-driver groups. Results: The factorial analysis (PCA) reveals the existence of five risk factors (speed and risk, external circumstances, distraction, alcohol and driving and other elements of driving) that explain 44.6% of the variance. More males than females reported that they had a higher tendency to take risks in all the risky factors exposed and injured pre-drivers reported less awareness of road safety than pre-drivers who had not been injured. A two-cluster solution indicated that it was possible to distinguish a group of pre-drivers who engaged in high risky behaviour (high group) from the group who engaged in moderate and low levels of risky road user behaviour (low group). Conclusions: The implications of these findings for programme designs and training initiatives to improve efficiency in reducing the accident rate are discussed.     

Conditional tail behaviour and Value at Risk

In this paper we study the tail behaviour of eight major market indexes stratifying data according to the violation of a high threshold on the previous day. The distributional differences found can be exploited to improve VaR calculations in several settings, giving rise to what we call ‘MCVaR’. We compare the performance of MCVaR with unconditioned VaR calculation methods and with GARCH VaR by means of several back-testing techniques that take into account not only the number of violations but also their magnitude and clustering.     

Hours worked in selected OECD countries: an empirical assessment

In this paper, we empirically assess the evolution of the aggregate hours worked, with a particular emphasis on their age structure, in a sample of OECD countries, along the period 1970–2007. We show that the age composition of the workforce has a large and statistically significant effect on hours worked volatility. To exploit the multilevel structure of our data, we use a Mixed Linear Model to investigate the consequences of (i) demographic change, (ii) sector-specific, and (iii) country-specific factors on hours worked by ‘young’ (aged 15–29) and ‘prime-aged’ (29+) individuals. We show that changes in workforce demographics, captured by the ratio between population older than 29 and population younger than 29, are strongly and significantly correlated with the amount of hours worked by ‘young’ individuals. We also document the impact of sectoral capital intensity and profitability on the dynamics of (aggregate) hours worked. Finally, we show that productive public expenditure, here proxied by the public investment in ICT, is beneficial for the hours worked both by young and prime-aged individuals.     

If Urban Regions are the Answer,What is the Question? Thoughts on the European Experience

This essay contributes to the current debate in the field of critical urban and regional studies on the meanings of the ‘regional’ and the ‘urban’. From a political science perspective, we focus on the European case. Firstly, we argue that the conception of the regional scale is not the same in various languages and traditions. Regions in Europe carry meanings and connotations that are not always easy to translate without losing their specific histories. Secondly, our analysis of contemporary debates on the ‘regional’ in the field of urban studies reveals that both practitioners and academics consider the regional scale mainly as a functional space, as the space for economic competitiveness. However, urban regions are also to be regarded as spaces for social and political mobilization. I argue that the political dimension of the ‘regional’ deserves more attention and that further research needs to be undertaken in this respect.     

The use of imagery in statistical reasoning by university undergraduate students: a preliminary study

Many students have difficulty in grasping several concepts that are related to the solution of statistical problems. The bibliography reports how the ability of students to solve problems can be affected by the mode of the statistical problem presentation: verbal–numerical and pictorial–graphical. The dual-coding theory predicts that the graphical representation mode should enhance students’ statistical reasoning. Solving these problems requires the building, by the subjects, of a mental model, which in turn relies on visuo-spatial processing. To test this hypothesis we analysed how the ability to solve problems of 473 undergraduate students is affected by the mode of the statistical problem presentation. The study used a quasi-experimental mixed design to explore how the student’s performance is related to visuo-spatial and numerical abilities, statistical expertise, time pressure and problem representation mode (verbal/pictorial). Data analysis, based on the Hierarchical Loglinear Model and then the Logit Model, highlighted that the effect of facilitation, induced by the graphical presentation mode, would seem more likely to occur in inexperienced subjects with high visuo-spatial competence.     

Confirmatory factor analysis with missing data in a small sample: cognitive reserve in people with Down Syndrome

Quality & Quantity - The presence of missing data and small sample sizes are very common in social and health sciences. Concurrently to present a methodology to solve the small sample size and...