A multi-regional view on aging societies accounting for the existence of non-tradable goods

This thesis assesses the question, whether accounting for non-tradable goods sectors in a calibrated Auerbach-Kotlikoff multi-regional overlapping-generations-model significantly affects this model’s results when simulating the economic impact of demographic change. Non-tradable goods constitute a major part of up to 80 percent of GDP of modern economies. At the same time, multi-regional overlapping-generations-models presented by literature on demographic change so far ignored their existence and counterfactually assumed perfect tradability between model regions. Moreover, this thesis introduces the assumption of an increasing preference share for non-tradable goods of old generations. This fact-based as-sumption is also not part of models in relevant literature. rnThese obvious simplifications of common models vis-à-vis reality notwithstanding, this thesis concludes that differences in results between a model featuring non-tradable goods and a common model with perfect tradability are very small. In other words, the common simplifi-cation of ignoring non-tradable goods is unlikely to lead to significant distortions in model results. rnIn order to ensure that differences in results between the ‘new’ model, featuring both non-tradable and tradable goods, and the common model solely reflect deviations due to the more realistic structure of the ‘new’ model, both models are calibrated to match exactly the same benchmark data and thus do not show deviations in their respective baseline steady states.rnA variation analysis performed in this thesis suggests that differences between the common model and a model with non-tradable goods can theoretically be large, but only if the bench-mark tradable goods sector is assumed to be unrealistically small.rnFinally, this thesis analyzes potential real exchange rate effects of demographic change, which could occur due to regional price differences of non-tradable goods. However, results show that shifts in real exchange rate based on these price differences are negligible.rn

Thermal fluctuations and boundary conditions in the lattice Boltzmann method

The lattice Boltzmann method is a popular approach for simulating hydrodynamic interactions in soft matter and complex fluids. The solvent is represented on a discrete lattice whose nodes are populated by particle distributions that propagate on the discrete links between the nodes and undergo local collisions. On large length and time scales, the microdynamics leads to a hydrodynamic flow field that satisfies the Navier-Stokes equation. In this thesis, several extensions to the lattice Boltzmann method are developed. In complex fluids, for example suspensions, Brownian motion of the solutes is of paramount importance. However, it can not be simulated with the original lattice Boltzmann method because the dynamics is completely deterministic. It is possible, though, to introduce thermal fluctuations in order to reproduce the equations of fluctuating hydrodynamics. In this work, a generalized lattice gas model is used to systematically derive the fluctuating lattice Boltzmann equation from statistical mechanics principles. The stochastic part of the dynamics is interpreted as a Monte Carlo process, which is then required to satisfy the condition of detailed balance. This leads to an expression for the thermal fluctuations which implies that it is essential to thermalize all degrees of freedom of the system, including the kinetic modes. The new formalism guarantees that the fluctuating lattice Boltzmann equation is simultaneously consistent with both fluctuating hydrodynamics and statistical mechanics. This establishes a foundation for future extensions, such as the treatment of multi-phase and thermal flows. An important range of applications for the lattice Boltzmann method is formed by microfluidics. Fostered by the "lab-on-a-chip" paradigm, there is an increasing need for computer simulations which are able to complement the achievements of theory and experiment. Microfluidic systems are characterized by a large surface-to-volume ratio and, therefore, boundary conditions are of special relevance. On the microscale, the standard no-slip boundary condition used in hydrodynamics has to be replaced by a slip boundary condition. In this work, a boundary condition for lattice Boltzmann is constructed that allows the slip length to be tuned by a single model parameter. Furthermore, a conceptually new approach for constructing boundary conditions is explored, where the reduced symmetry at the boundary is explicitly incorporated into the lattice model. The lattice Boltzmann method is systematically extended to the reduced symmetry model. In the case of a Poiseuille flow in a plane channel, it is shown that a special choice of the collision operator is required to reproduce the correct flow profile. This systematic approach sheds light on the consequences of the reduced symmetry at the boundary and leads to a deeper understanding of boundary conditions in the lattice Boltzmann method. This can help to develop improved boundary conditions that lead to more accurate simulation results.

Einflussfaktoren der Studienfachwahl im Wandel: eine empirische Untersuchung auf Basis des Studierendensurveys

„Wer studierte was wann und warum?“ Diese Formulierung impliziert die Fragestellung und die Themenbereiche der Arbeit, die einen Beitrag zur Diskussion von Bildungsentscheidungen auf gesellschaftlicher, organisationaler und individueller Ebene leistet. Ausgangspunkt der Analyse ist eine ausführliche theoretische Einbettung des Themas anhand verschiedener Konzepte und der Aufarbeitung des Forschungsstandes. Dabei werden sozialstrukturelle Merkmale, die Bedeutung von Lebensorientierungen und der Komplex der individuellen Motivationslagen diskutiert und u.a. in Bezug zur handlungstheoretischen Unterscheidung der Um-zu- und Weil-Motive von Alfred Schütz gesetzt. Dieses Konzept und die daraus resultierenden Hypothesen werden in einer quantitativ-empirischen Analyse untersucht. Datengrundlage ist das Studierendensurvey der AG Hochschulforschung der Uni Konstanz. Anhand von binären logistischen Regressionsanalysen werden bestimmte Einflussstrukturen und fachspezifische Profile ermittelt. Insbesondere die Konzeption der intrinsischen und extrinsischen Motivationen zeichnet dabei deutliche Unterscheidungen zwischen den Fächern. Auch in der Betrachtung des Zeitraumes 1985-2007 werden Veränderungen der Einflussstrukturen der Studienfachwahl deutlich, wie z.B. die schwindende Bedeutung der sozialen Herkunft für die Studienfachwahl zeigt. Abschließend wird der Zusammenhang der Einflussstrukturen der Studienfachwahl mit der Studienzufriedenheit analysiert. Auch für die Zufriedenheit von Studierenden und damit den Studienerfolg sind bestimmte Strukturen der Studienfachwahl von Bedeutung.