Inf-convolution of risk measures and optimal risk transfer

We develop a methodology for optimal design of financial instruments aimed to hedge some forms of risk that is not traded on financial markets. The idea is to minimize the risk of the issuer under the constraint imposed by a buyer who enters the transaction if and only if her risk level remains below a given threshold. Both agents have also the opportunity to invest all their residual wealth on financial markets, but with different access to financial investments. The problem is reduced to a unique inf-convolution problem involving a transformation of the initial risk measures.Received: December 2004, Mathematics Subject Classification (2000): 60G35, 91B28, 91B30, 46N10JEL Classification: C61, D81, G13, G22     

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.     

Recent Trends in the Skill Composition of Legal U.S. Immigrants

We examine fluctuations in the predicted educational attainment of newly arrived legal U.S. immigrants between 1972 and 1999 by combining data from the U.S. Immigration and Naturalization Service with the Current Population Survey. A mid-1980s decline gave way to a noticeable improvement in the skill base of the immigrant population between 1987 and 1993. A short decline in the quality of immigrant skills—less severe than that of the mid-1980s—took place in the mid-1990s. In 1998, the trend reverses once more: The labor market quality of new legal U.S. immigrants improves. The primary sources of the fluctuations include changes in the quality and quantity of immigrants obtaining an adjustment and variations in the distribution of source regions and entry class types among new legal U.S. immigrants.     

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.     

Increasing earnings inequality and the gender pay gap in Canada: Prospects for convergence

This paper retraces the evolution of Canadian women's labour force participation and of the gender earnings ratio across the generations to understand better the prospects for gender convergence in pay. Using data from the public use Labour Force Surveys (LFS) and administrative annual earnings data from the Longitudinal Worker Files (LWF), the paper assesses the role of increasing top earnings inequality in the persistence of the gender pay gap. Having identified a growing role for the under‐representation of women among top earners, the paper then performs an evaluation and critical analysis of existing gender equality policies, centred on horizontal occupational gender segregation, and discusses alternative policies for the future.     

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.