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Transformation, Agency and the Economy
Producing, buying, selling, inventing, destroying, caring, imagining, failing – with their everyday practices, people bring about what we call ‘the economy’. In order to both understand and transform these practices in the context of mounting socio-ecological challenges, respective knowledge on economic practices becomes crucial. Yet, when it comes to the respective scientific discipline – economics – such knowledge is limited due to a long-standing tradition of favouring abstraction and modelling over assessing real-world economic action. By contrast, this book draws the contours of an economics grounded in real-world phenomena and experiences by outlining the foundations of a Gro...
Statistical Identification in SVARs - Monte Carlo Experiments and a Comparative Assessment of the Role of Economic Uncertainties for the US Business Cycle
Structural vector autoregressive analysis aims to trace the contemporaneous linkages among (macroeconomic) variables back to underlying orthogonal structural shocks. In homoskedastic Gaussian models the identification of these linkages deserves external and typically notdata-based information. Statistical data characteristics (e.g, heteroskedasticity or non-Gaussian independent components) allow for unique identification. Studying distinct covariance changes and distributional frameworks, we compare alternative data-driven identification procedures and identification by means of sign restrictions. The application of sign restrictions results in estimation biases as a reflection of censored s...
Heteroskedasticity-Robust Unit Root Testing for Trending Panels
Time-varying volatility and linear trends are common features of several macroeconomic time series. Recent articles have proposed panel unit root tests (PURTs) that are pivotal in the presence of volatility shifts, excluding linear trends, however. This article proposes a new PURT that works well for data that is both heteroskedastic and trending. Under the null hypothesis, the test statistic has a limiting Gaussian distribution. We derive the local asymptotic power to underpin the consistency of the test statistic. Simulation results reveal that the test performs well in small samples. As an empirical illustration, we examine the stationarity of energy use per capita in OECD economies. While the series are in general difference stationary, they could also be considered as trend stationary for specific time spans.
The Nonlinear Dependence of Income Inequality and Carbon Emissions
Understanding the interconnected nature of rising carbon emissions and income inequality is crucial to achieve social and ecological sustainability. Multiple studies on their relationship suggest a complex association structure. Novel distributional copula models can uncover such complex interdependencies between carbon emissions and income inequality by analysing their conditional joint distribution. We use an unbalanced panel data set of 154 countries from 1960 to 2019 to compare the relationship in high-, middle- and low-income countries with regard to consumption, energy sources, the structure of the economy and the political system. Our results provide evidence for a nonlinear relationship and shed light on significant heterogeneous dependence structures. The estimates further allow to identify the influencing factors of falling in an area of potential social and environmental sustainability which reveals that only the joint activation of multiple channels opens the way for a sustainable future.
Analysing Inequalities in Germany
This book seeks new perspectives on the growing inequalities that our societies face, putting forward Structured Additive Distributional Regression as a means of statistical analysis that circumvents the common problem of analytical reduction to simple point estimators. This new approach allows the observed discrepancy between the individuals’ realities and the abstract representation of those realities to be explicitly taken into consideration using the arithmetic mean alone. In turn, the method is applied to the question of economic inequality in Germany.
DAGStat 2022
Das Buch enthält die Abstracts der eingeladenen bzw. angenommenen Vorträge der 6. Konferenz der Deutschen Arbeitsgemeinschaft Statistik (DAGStat), welche vom 28. März bis 1. April 2022 am Universitätsklinikum Hamburg-Eppendorf (UKE) in Kooperation mit der Universität Hamburg sowie der Helmut-Schmidt-Universität stattfand. Die Konferenz stellte ebenfalls das 68. Biometrische Kolloquium der Deutschen Region der International Biometric Society (IBS-DR) dar, sowie die 45. Jahrestagung der Gesellschaft für Klassifikation (GfKl/Data Science Society). Die Vorträge behandelten dabei ein breites Spektrum sowohl angewandter als auch eher methodischer/theoretischer Themen aus dem Bereich Statistik und Data Science.
The Outsiders
An extremely powerful witch, from the times of Camelot, begins traveling the multiverse in a pursuit of power. Mankind's only hope lies in the hands of two teenage orphans and their misfit group of friends. Max and Simone are two orphaned teens that discover they are destined to save all of creation. After discovering another realm, they find themselves thrown into a world of magic and grand adventure. Together, with their ragtag group of friends, they must navigate their teenage lives while trying the save the world.
Ökonomie - Praxis - Subjektivierung
Wie sähen Wirtschaftswissenschaften aus, die sich konsequent den Praktiken wirtschaftender Akteur*innen zuwenden? Um diese Frage zu beantworten, entwickelt Lukas Bäuerle einen konzeptuellen Rahmen aus Institutionen- und Praxistheorien, kritischem Realismus und Sozialphänomenologie, den er stringent zu einer praxeologischen Institutionenforschung zuspitzt. Am Beispiel der Subjektivierungspraktiken von Studierenden der Wirtschaftswissenschaften dekliniert er seinen Ansatz durch und deutet die empirischen Ergebnisse in Anlehnung an Friedrich Hayek, Karl Marx und Roberto Unger. Das Ergebnis: Wirtschaftswissenschaften sollten nicht nur grundlegend neu gemacht werden, sondern können es auch!
