Institut für Höhere Studien - Institute for Advanced Studies
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Übergang Schule - Hochschule. Einflussfaktoren auf die Studienintention von Schüler:innen am Ende der Sekundarstufe II
Get PDFMaßnahmen zur Plagiatsprävention und -kontrolle an österreichischen Hochschulen in Zeiten zunehmender Digitalisierung
Get PDFPanel cointegrating polynomial regressions: group-mean fully modified OLS estimation and inference
Get PDFWe develop group-mean fully modified OLS (FM-OLS) estimation and inference for panels of cointegrating polynomial regressions, i.e., regressions that include an integrated process and its powers as explanatory variables. The stationary errors are allowed to be serially correlated, the integrated regressors – allowed to contain drifts – to be endogenous and, as usual in the panel literature, we include individual-specific fixed effects and also allow for individual-specific time trends. We consider a fixed cross-section dimension and asymptotics in the time dimension only. Within this setting, we develop cross-section dependence robust inference for the group-mean estimator. In both the simulations and an illustrative application estimating environmental Kuznets curves (EKCs) for carbon dioxide emissions we compare our group-mean FM-OLS approach with a recently proposed pooled FM-OLS approach of de Jong and Wagner
Social progress and environmental care – lessons learnt from the IPSP
Get PDFThis chapter provides an overview and a reflection on how the work of the IPSP (International Panel on Social Progress) relates to the topics of our book, covering various aspects of environmental care, societal development and education. First, a general description and explanation of the work and products of the IPSP are provided, outlining the main lines of understanding and conceptual approaches to social progress. Second, a more specific analysis of the approach towards progress and environmental care, interdisciplinarity, Global North–South gaps and relations to other (global) political initiatives (e.g. the International Panel on Climate Change [IPCC], or the United Nations Sustainable Development Goals [SDGs]) is explained. Third, the main topics of the workshops about environmental care and progress are reflected from the perspective of the IPSP, exploring what the IPSP material says and what insights might be gleaned from it
The Destruction of Automobility as We Know It
No full textBook review: Robert Braun and Richard Randall, Post-automobility Futures: Technology, Power, and Imaginaries (London: Rowman & Littlefield, 2022), 226 pp
60 Jahre Forschung, die zählt. Gründungsjahre und Aufschwung
No full textDas Institut für Höhere Studien feiert heuer sein 60-jähriges Jubiläum. Zu diesem Anlass erscheinen dieses Jahr immer wieder Blogbeiträge, die sich mit verschiedenen Aspekten der Institutsgeschichte auseinandersetzen. Zum Auftakt haben Andreas Huber und Thomas König die verschiedenen Perioden des Instituts zusammengefasst, basierend auf bestehender Literatur und ihrer historischen Forschung. Der Beitrag erscheint in zwei Teilen: in diesem ersten Teil widmen sie sich der Gründungszeit und der ersten Hochzeit des Instituts
Which policy measures can motivate active mobility in rural and semi-rural areas?
Get PDFThis study investigates which policy measures are able to motivate citizens in rural and semirural areas of Lower Austria to use active transport modes for everyday trips. A representative sample was asked to evaluate six walking- and eight cycling-oriented policy measures. We find that the revitalization of village/town centers and infrastructural measures are considered most motivating, and soft measures (such as information provision) least motivating. The respondents’ answers are found to depend on their current and intended mobility behavior, but only to a limited extent on their socio-demographic characteristics. Individuals who believe that active mobility is associated with time savings, freedom, ecological benefits, and health tend to feel significantly more motivated by most policy measures. Finally, we observe that respondents regard all policy measures as more motivating to others than to themselves. We discuss strategic answering and behavioral biases as potential explanations
