Data-mining: Improvement of university library services

Delft University Press has been contacted by the International Water History Association (client) in order to study the relevancy of starting a new journal on a particular topic of interest to its members. This periodical would publish most of the articles relating to this field. Before starting, the client and the publisher want to know if such a journal would find enough authors for the articles and a sufficient audience. How many potential authors exist? What amount of articles in that field exists in other journals? In order to get an answer, the Delft University of Technology Library performed basic bibliometric analyses.A study of all articles published in 6 relevant existing periodicals, selected by the client, shows that most of the authors were unknown to the client. An analysis of the publications of the members of the association revealed that only one-third has published in the past 10 years, and very few publications were in the client's field of interest. This would imply that a future periodical could not be supported only by contributions of the members. These preliminary analyses allowed the publisher and the client to get a clearer idea of the possible contribution of its members for a future periodical. The main contributors will have to be recruited from a larger population.     

Uncertainty and pollution: The role of indirect taxation

This paper explores the potential usefulness of indirect taxation as a supplement to effluent charges. It is argued that effluent charges should typically be accompanied by taxes on privately traded commodities linked to the pollutant in consumption or production. The performance of such combinations of taxes and charges is then compared to that of an effluent standard.     

Introducing ‘Journeys Home’

Homelessness, despite being a major social policy issue in Australia, is an area that is not well served by data. Most sorely lacking is any large‐scale panel study that follows a broad sample of persons with recent experience of homelessness and unstable housing histories. In 2010, the Australian Government set about rectifying this deficiency when it commissioned the Melbourne Institute to undertake a new panel study, now known as ‘Journeys Home’. This study draws its sample from the population of Centrelink income‐support recipients, targeting persons identified in the administrative data as having recent experience of homelessness, as well as others with similar characteristics who may be vulnerable to housing difficulties in the future. This article summarises the design of this new study and reports on fieldwork outcomes from the first two waves of data collection.     

Optimal investment decisions when time-horizon is uncertain

Many investors do not know with certainty when their portfolio will be liquidated. Should their portfolio selection be influenced by the uncertainty of exit time? In order to answer this question, we consider a suitable extension of the familiar optimal investment problem of Merton [Merton, R.C., 1971. Optimal consumption and portfolio rules in a continuous-time model. Journal of Economic Theory 3, 373–413], where we allow the conditional distribution function of an agent’s time-horizon to be stochastic and correlated to returns on risky securities. In contrast to existing literature, which has focused on an independent time-horizon, we show that the portfolio decision is affected.     

What drives support for self-driving car technology in the United States?

Abstract

Recent advances in automotive technology have made fully automated self-driving cars technologically feasible. Despite offering many benefits such as increased safety, improved fuel efficiency, and greater disability access, public support for self-driving cars remains low. While previous studies find that demographic factors such as age and sex influence self-driving car support, limited research has examined variables that are well known to predict public attitudes toward emerging technology. Using self-report data from a quota sample of American adults (N?=?1008), we find that age and sex are not significantly associated with support for self-driving car policies when controlling for these other variables. Instead, significant predictors of support included trust in automotive institutions and regulatory bodies, recognition of self-driving car benefits, positive affect toward self-driving cars, and a greater perception that human-driven cars are riskier than self-driving cars. Importantly, we also find that individualism is negatively associated with support. That is, people who value personal autonomy and limited government regulation may perceive policies encouraging self-driving car use as threatening to their worldviews. Altogether, our results suggest strategies for encouraging greater public support of self-driving vehicles while also forecasting potential barriers as this technology emerges as a fixture in transportation policy.     

Did a Public Campaign Influence Debit Card Usage? Evidence from the Netherlands

Did consumers change their payment behaviour after being exposed to a public campaign that encouraged them to use their debit cards more often? We analysed the impact of such a campaign that started in 2007, using debit card transaction data between 2005 and 2013. The overall results show positive effects of the national campaign to promote debit card usage, both in the short and in the long run. The results suggest that high campaign intensity aimed at consumers had a positive impact, as did a focus on certain large retail chains. Interventions aimed at increasing debit card acceptance by retailers were effective to some extent. Providing information to retailers about the benefits of debit card acceptance led to higher card acceptance, but no proof was found for the effectiveness of financial incentives for retailers.     

Audit Market Segmentation – The Impact of Mid-tier Firms on Competition

This analysis’ goal is to characterise the impact of mid-tier auditors on competition and average supplied audit quality. The major result of our analysis is the following: Auditors’ flexibilities with respect to clients’ complexity determine the offered audit quality levels and thus the average supplied audit quality. Defining a model-endogenous quality measure, we show that for some instances the mid-tier auditor improves average audit quality, but for other instances fails to do so. The result could be of special interest for standard setters, for example, the European Commission, which is currently revising EU audit regulation. Further, the analysis may serve as an instrument to analyse economic consequences of future changes of regulation.     

In love with the debit card but still married to cash

Using shopping diary survey data, we show that changing payment patterns is a challenging task; even when consumers have fallen in love with a new payment instrument, they find it hard to divorce from their old payment instrument. We find a discrepancy between how consumers prefer to pay and how they actually pay. Half of the consumers who prefer the debit card to cash don’t use the debit card to pay a majority of their point-of-sale transactions. Our regression results show that the habit of paying cash plays a significant role explaining the presence of a gap.     

A preliminary look at readmission and mortality among chronically critically ill and other medically complex Medicare patients

Chronically critically ill and other medically complex patients (CCI/MC-Ps) are those who are hospitalized with long-term intensive care needs and require extended periods of hospital-level care. CCI/MC-Ps may be at higher risk for readmission and mortality than other populations due to the severe nature their illnesses. This article examines factors that lead to increased probability of hospital readmission or mortality among CCI/MC Medicare patients. Logistic regression analyses are used to examine mortality and readmissions among the CCI/MC population. Numerous factors including length of stay in the acute hospital, age and gender affect whether a patient is readmitted to the acute care hospital within 90 days of discharge or dies within 60 days following a hospital stay.