Passive learning: a critique by example

In models of learning by experimentation that exhibit signal dependence, a benchmark using a passive learner has been proposed. The use of this benchmark is flawed – first, passive learning does not disentangle the effects of knowing that beliefs, as well as other state variables, might change, and we address this issue directly by introducing a naïve learner. Secondly, and more tellingly, passive learning does not do what it is supposed to do, namely help measure the gains from active experimentation; the naïve learner enables us to illustrate this point in the context of a particular example.     

Welcher Euro wird überleben?

Auf ihrem letzten Gipfeltreffen Ende M?rz haben die europ?ischen Staats- und Regierungschefs einen Europ?ischen Stabilisierungsmechanismus für die Zeit nach 2013, eine Sch?rfung des Stabilit?ts- und Wachstumspaktes und einen Euro-Pakt-Plus beschlossen. Dies soll dazu führen, dass die Wirtschaftspolitik der Eurol?nder besser koordiniert wird. Der Autor ist allerdings skeptisch, ob eine gelenkte Koordinierung die richtige Strategie ist. Für die L?sung der europ?ischen Probleme h?lt er den Marktmechanismus für geeigneter.     

Differences in Roma and non-Roma students’ ratings of their peers’ popularity: an inquiry into the oppositional culture in Hungarian schools with the use of a survey experiment

Quality & Quantity - Oppositional culture theory posits that students who belong to oppressed ethnic minority groups define their ethnic identity in opposition to the majority of students....     

Matthias Karmasin an die Universität Klagenfurt berufen

Ohne Zusammenfassung     

Digitalisierung im Gesundheitswesen — zwischen Datenschutz und moderner Medizinversorgung

The digital transformation of the healthcare branch is important and unstoppable. The enormous possibility of digitalisation to redesign and enhance processes has been shown in other branches. Digital technologies offer the similarly large potential to improve the quality and efficiency of healthcare services. However, in terms of digitalisation, the German health system lags behind other European countries. But given a lack of available evidence, the effects of the digitalisation of the healthcare system cannot be reliably evaluated. Digital access to patient data necessitates constructive error cultures in organisations in order to limit defensive medicine. And digital access to health information necessitates individual competence in searching and using this information for participatory decision-making. As with all technological progress, information security is very important in order to gain citizens’ confidence in a digital healthcare system. Thus, it is necessary to simultaneously pursue both enhanced privacy standards and state-of-the-art medical technology.     

Can below-replacement fertility be desirable?

In this paper, we challenge the widespread notion that replacement level fertility is the most desirable level of fertility both for countries currently above and below this level. We discuss possible alternative criteria for choosing one fertility level over another. In accordance with earlier studies, we focus on age dependency as the sole criterion. But we do so by relaxing the strong assumption that all individuals of a given age are equal in terms of their economic contribution to society and introduce education as probably the most relevant observable source of population heterogeneity. Our criterion variable is the education-weighted support ratio and we perform thousands of alternative simulations for different constant levels of fertility, starting from empirically given populations. If education is assumed to present a cost at young age and results in higher productivity during working age, then for most countries the desirable long-term total fertility rate turns out to be well below replacement level.     

Long‐period Positions in Multi‐sectoral Cobb–Douglas Economies

The present paper considers a constant returns to scale non‐joint production economy with one primary factor (labour). It follows from the non‐substitution theorem that macroeconomic variables are completely determined by the wage–profit distribution in a long‐period position. We investigate the special case in which production in each sector as well as consumption are characterized by means of Cobb–Douglas functions. Despite the non‐linearity, this parametrization allows us to compute sectoral and macroeconomic variables in simple and intuitive equations. As noted in earlier literature, many variables behave differently than would be expected on basis of a one‐sectoral Solow growth model.     

IMF surveillance as a signal to attract foreign investment

Poor governance and endemic corruption hamper the efforts of some developing countries to attract foreign investment. Incentive schemes based on verifiable signals of varying costs and quality can be helpful in encouraging their governments to intensify corruption-control efforts. This paper ranks alternative signals, including surveillance by the IMF and other IFIs (International Financial Institutions), as catalysts for private foreign investments. We demonstrate that the ranking crucially depends on the bargaining strength of governments relative to foreign investors. If foreign lenders control the bargain, IFI signals are the first choice. If governments are in control, IFI signals become the choice of last resort.     

Strategy Development: Conceptual Framework on Corporate Social Responsibility

Corporate social responsibility (CSR) and its action-oriented offspring Corporate Citizenship (CC) currently trigger an intensifying debate on ethics, role and behavior of companies within civil society. For companies, CSR raises the question of what may be the “good reason(s)” for acting responsible towards its members, customers or society. In order to answer this question, we face the debate on CSR and its strategic engagement drivers on the levels of corporate culture, social innovation, and civil society. In this article, we provide a conceptual framework based on the analytic distinction of legitimation and sensemaking. The conceptual framework developed in this article can serve as a basis to develop a company’s CSR strategy. It provides measures and instruments to make complex CSR processes more visible and manageable.     

Dismantling terrorist networks: Evaluating strategic options using agent-based modeling

Dismantling dark networks remains a critical goal for the peace and security of our society. Terrorist networks are the most prominent instantiation of dark networks, and they are alive and well. Attempts to preemptively disrupt these networks and their activities have met with both success and failure. In this paper, we examine the impacts of four common strategies for dismantling terrorist networks. The four strategies are: leader-focused, grassroots, geographic, and random. Each of these strategies has associated pros and cons, and each has different impacts on the structure and capabilities of a terrorist network. Employing a computational experimentation methodology, we simulate a terrorist network and test the effects of each strategy on the resiliency of that network. In addition, we test scenarios in which the terrorist network has (or does not have) information about an impending attack. Our work takes a structural perspective to the challenge of addressing terrorist networks. Specifically, we show how various strategies impact the structure of the network in terms of its resiliency and capacity to carry out future attacks. This paper also provides a valuable overview of how to use agent-based modeling for the study of complex problems in the terrorism, conflict studies, and security study domains.