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United in Diversity? European Identity Constructions in German Discourse since 1990
Full text linkDie Arbeit untersucht den bundesdeutschen Diskurs zur europäischen Integration seit 1990 aus diskurslinguistischer Perspektive und versteht ihn als Aushandlungsraum europäischer Identitätskonstruktionen. Ausgangspunkt ist die Annahme, dass institutionelle Vertiefung und geografische Erweiterung der EU nicht allein als verrechtlichte Integrationsschritte zu begreifen sind, sondern stets auch identitätspolitische Dimensionen tragen. Ziel der Studie ist es, die sprachliche Konstituierung der EU als identitätspolitisches Referenzsystem sichtbar zu machen und damit eine diskurslinguistische Ergänzung zur interdisziplinären Integrationsforschung zu leisten. Auf Grundlage eines diachronen Korpus, das zentrale integrationspolitische Etappen und Krisenphasen umfasst, wird ein Mixed-Methods-Ansatz entwickelt, der korpusgeleitete Verfahren mit der hermeneutischen Annotation diskurslinguistischer Kategorien verbindet. Analysiert werden nicht nur lexikalisch-semantische Repräsentationen Europas, sondern vor allem diskursive Grundfiguren wie Einheit, Vielfalt, Eigenes und Fremdes sowie deren Verbindung zu politischen Sinnzuschreibungen. Die Ergebnisse zeigen, in welchem Maße sich im deutschen Diskurs ein stabiler identitätspolitischer Bezugspunkt zur EU herausgebildet hat, wie sich normative Leitbilder und funktionale Rationalitäten überlagern und wie europäische Integration sprachlich zwischen symbolischer Aufladung und strategischer Instrumentalisierung verhandelt wird.This study examines the German public and political discourse on European integration since 1990 from a discourse-linguistic perspective, understanding it as a site in which European identity constructions are negotiated. It builds on the assumption that the institutional deepening and geographic enlargement of the EU cannot be conceived solely as legal-administrative integration steps but always entail identity-political dimensions. The aim is to make visible the linguistic constitution of the EU as an identity-political reference point and thereby provide a discourse-linguistic complement to interdisciplinary research on European integration. Drawing on a diachronic corpus that spans major milestones and crises of European integration, the study develops a mixed-methods approach combining corpus-driven procedures with hermeneutic annotation of discourse-linguistic categories. The analysis examines not only lexical-semantic representations of Europe but, above all, core discursive figures such as unity, diversity, self and other, as well as their linkage to political meaning-making. The findings show to what extent a stable identity-political reference to the EU has emerged in German discourse, how normative ideals and functional rationalities intersect, and how European integration is linguistically negotiated between symbolic charge and strategic instrumentalization
Interaction between culture, fairness and patriotism and its impact on individual preferences and attitudes in economics
Full text linkBased on data collected from two surveys conducted in Germany and Taiwan, my first paper (Chapter 2) examines the impact of culture through language priming (Chinese vs. German or English) on individuals’ price fairness perception and attitudes towards government intervention and economic policy involving inequality. We document large cross-language differences: in both surveys, subjects who were asked and answered in Chinese demonstrated significantly higher perceived price fairness in a free market mechanism than their counterparts who completed the survey in German or English language. They were also more inclined to accept a Pareto improvement policy which increases social and economic inequality. In the second survey, Chinese language induced also a lower readiness to accept government intervention in markets with price limits compared to English language. Since language functions as a cultural mindset prime, our findings imply that culture plays an important role in fairness perception and preferences regarding social and economic inequality.
Chapter 3 of this work deals with patriotism priming. By conducting two online experimental studies conducted in Germany and China, we tested three different kinds of priming methods for constructive and blind patriotism respectively. Subjects were randomly distributed to one of three treatments motivated by previous studies in different countries: a constructive patriotism priming treatment, a blind patriotism priming treatment and a non-priming baseline. While the first experiment had a between-subject design, the second one enabled both a between-subject and within-subject comparison, since the level of patriotism of individuals was measured before and after priming respectively. The design of the second survey also enabled a comparison among the three priming methods for constructive and blind patriotism. The results showed that the tested methods, especially the national achievements as a priming mechanism, functioned well overall for constructive patriotism.
Surprisingly, the priming for blind patriotism did not work in either Germany or China and the opposite results were observed. Discussion and implications for future studies are provided at the end of the chapter.
Using data from the same studies as in Chapter 3, Chapter 4 examines the impact of patriotism on individuals’ fairness perception and preferences regarding inequality and on their attitudes toward economic policy involving inequality. Across surveys and countries, a positive and significant effect of blind patriotism on economic individualism was found. For China, we also found a significant relationship between blind patriotism and the agreement to unequal economic policy. In contrast to blind patriotism, we did not find an association of constructive patriotism to economic individualism and to attitudes toward economic policy involving inequality. Political and economic implications based on the results are discussed.
The last chapter (Chapter 5) studies the self-serving bias (when an individual’s perception about fairness is biased by self-interest) in the context of price setting and profit distribution. By analyzing data from four surveys conducted in six countries, we found that the stated appropriate product price and the fair allocation of profit was significantly higher, when the outcome was favorable to oneself. This self-serving bias in price fairness perception, however, differed across countries significantly and was significantly higher in Germany, Taiwan and China than in Vietnam, Estonia and Japan.
Although economic individualism and masculinity were found to have a significant negative effect on self-interest bias in price fairness judgment, they did not sufficiently explain the differences in self-interest bias between countries. Furthermore, we also observed an increase of self-interest bias in profit allocation over time in time-series data for one country (Germany) with data from 2011 to 2023.
The four papers are all co-authored with Prof. Marc Oliver Rieger, and the first paper has been accepted for publications in Review of Behavioral Economics
Convex Duality in Consumption-Portfolio Choice Problems with Epstein-Zin Recursive Preferences
Full text linkThis thesis deals with consumption-investment allocation problems with Epstein-Zin recursive utility, building upon the dualization procedure introduced by [Matoussi and Xing, 2018]. While their work exclusively focuses on truly recursive utility, we extend their procedure to include time-additive utility using results from general convex analysis. The dual problem is expressed in terms of a backward stochastic differential equation (BSDE), for which existence and uniqueness results are established. In this regard, we close a gap left open in previous works, by extending results restricted to specific subsets of parameters to cover all parameter constellations within our duality setting.
Using duality theory, we analyze the utility loss of an investor with recursive preferences, that is, her difference in utility between acting suboptimally in a given market, compared to her best possible (optimal) consumption-investment behaviour. In particular, we derive universal power utility bounds, presenting a novel and tractable approximation of the investors’ optimal utility and her welfare loss associated to specific investment-consumption choices. To address quantitative shortcomings of those power utility bounds, we additionally introduce one-sided variational bounds that offer a more effective approximation for recursive utilities. The theoretical value of our power utility bounds is demonstrated through their application in a new existence and uniqueness result for the BSDE characterizing the dual problem.
Moreover, we propose two approximation approaches for consumption-investment optimization problems with Epstein-Zin recursive preferences. The first approach directly formalizes the classical concept of least favorable completion, providing an analytic approximation fully characterized by a system of ordinary differential equations. In the special case of power utility, this approach can be interpreted as a variation of the well-known Campbell-Shiller approximation, improving some of its qualitative shortcomings with respect to state dependence of the resulting approximate strategies. The second approach introduces a PDE-iteration scheme, by reinterpreting artificial completion as a dynamic game, where the investor and a dual opponent interact until reaching an equilibrium that corresponds to an approximate solution of the investors optimization problem. Despite the need for additional approximations within each iteration, this scheme is shown to be quantitatively and qualitatively accurate. Moreover, it is capable of approximating high dimensional optimization problems, essentially avoiding the curse of dimensionality and providing analytical results
Luftgestützte Radartechnik in der Fernerkundung für kleine UAVs
Full text linkIn den letzten Jahren hat die Nutzung von Drohnen deutlich zugenommen. Dies liegt unter anderem an der Leistungssteigerung, der guten Verfügbarkeit und an dem einfachen Einsatz von Drohnen. Damit sind auch Anwendungen in der Forschung möglich geworden, die zuvor unmöglich oder mit hohen Kosten verbunden waren. Als Sensor zur Datenaufzeichnung findet im Bereich der Forschung häufig eine Kamera Verwendung. Zusammen mit einer Drohne können Bereiche einfach und kostengünstig überflogen und dabei erkundet, beobachtet oder überwacht werden. Neben der Kamera als Sensor werden auch häufig Multispektralkameras und Lidar eingesetzt. Dagegen findet Radar im Bereich von kleinen Drohnen kaum Anwendung. Ziel dieser Forschungsarbeit war es zu untersuchen, ob neuste Radartechnik einen Mehrwert in der Fernerkundung mit kleinen Drohnen bieten kann.
Hierfür wurden moderne Radarsensoren aus dem Automobilbereich ausgewählt. Als Drohnen wurden sowohl Quadrocopter als auch eine Starrflügler-Drohne eingesetzt. Für die Analyse, Berechnung und Auswertung der Daten wurde MATLAB verwendet. Der erste Ansatz beruhte auf einer Starrflügler-Drohne, die sich durch ihren freien Zugriff auf die Steuerung auszeichnet. Dadurch können auch spezielle Anforderungen an die Flugregelung berücksichtigt werden. Allerdings können mit einer Starrflügler-Drohne keine langsamen oder sogar statische Luftaufnahmen erstellt werden, um Erfahrung mit den Radardaten zu erlangen. Aus diesem Grund wurde anschließend ein Radar-Messsystem entworfen, das unabhängig von der Drohne eingesetzt werden kann. Zusammen mit einem Quadrocopter konnten so statische Radarmessungen durchgeführt werden, um die Verwendbarkeit der Radardaten in der Fernerkundung zu bestätigen. Das Messsystem konnte so aber nur für 2-dimensionale Anwendungen eingesetzt werden. In der weiteren Forschungsarbeit wurde untersucht, ob es möglich ist, mit einem Radarsensor der nur in 2-dimensionen misst eine 3-dimensionale Aufzeichnungen zu erstellen. Als Versuchsobjekt wurde eine Hütte gewählt, die Anhand der Radardaten dargestellt werden sollte. Dafür wurde ein Prozess zur Datenverarbeitung mit elf Schritten entworfen, womit die Hütte auf 0,6 Meter genau rekonstruiert werden konnte. Im letzten Teil der Forschungsarbeit wurde untersucht, ob sich die Genauigkeit des Messsystems erhöhen lässt, um noch mehr Anwendungsfälle bedienen zu können. Dafür wurde ein neuer Radarsensor eingesetzt, der eine höhere Genauigkeit besitzt. Die Forschungsarbeit konzentrierte sich darauf, die Abhängigkeit der Radardaten zum ungenauen Lagesensor aufzulösen. Dabei wurde die Fluglage über die Radardaten selbst berechnet, womit die Fluglage genauer bestimmt werden kann als allein über den Lagesensor. Erst damit kann die höhere Genauigkeit des neuen Radarsensors auch tatsächlich ausgenutzt werden.
Mit den Ergebnissen der Forschungsarbeit sowie den vorgestellten Radarsensoren, stehen der Fernerkundung mit kleinen Drohnen, neben den klassischen Sensoren, zukünftig auch Radarsensoren zur Verfügung. Mit dem Messsystem und den Erkenntnissen aus der Forschungsarbeit werden bereits erste spezifische Anwendungen in Forschungsprojekten untersucht. Darüber hinaus konnten auch Anwendungsfälle außerhalb der Fernerkundung identifiziert werden. Die Weiterentwicklung im Bereich des autonomen Fahrens wird für Leistungssteigerungen bei Radarsensoren sorgen. Damit stehen auch der Fernerkundung zukünftig noch bessere Radarsensoren zur Verfügung
Algorithms and Complexity Theory for Bilevel Problems with Nonlinear Lower Levels
Full text linkBilevel problems are optimization problems for which parts of the variables
are constrained to be an optimal solution to another nested optimization
problem. This structure renders bilevel problems particularly well-suited for
modeling hierarchical decision-making processes. They are widely applicable
in areas such as energy markets, transportation systems, security planning,
and pricing. However, the hierarchical nature of these problems also makes
them inherently challenging to solve, both in theory and in practice.
In this thesis, we study different nonlinear problem settings for the
nested optimization problem. First, we focus on nonlinear but convex bilevel
problems with purely integer variables. We propose a solution algorithm that
uses a branch-and-cut framework with tailored cutting planes. We prove
correctness and finite termination of the method under suitable assumptions
and put it into context of existing literature. Moreover, we provide an
extensive numerical study to showcase the applicability of our method and
we compare it to the state-of-the-art approach for a less general setting on
suitable instances from the literature. Furthermore, we discuss challenges that
arise when we try to generalize our approach to the mixed-integer setting.
Next, we study mixed-integer bilevel problems for which the nested
problem has a nonconvex and quadratic objective function, linear constraints,
and continuous variables. We state and prove a complexity-theoretical hardness result for this
problem class and develop a lower and upper bounding scheme to solve
these problems. We prove correctness and finite termination of the proposed
method under suitable assumptions and test its applicability in a numerical
study.
Finally, we consider bilevel problems with continuous variables, where
the nested problem has a convex-quadratic objective function and linear
constraints. We reformulate them as single-level optimization problems using
necessary and sufficient optimality conditions for the nested problem. Then,
we explore the family of so-called P-split reformulations for this single-level
problem and test their applicability in a preliminary numerical study
Mixed-Integer Optimization Techniques for Robust Bilevel Problems with Here-and-Now Followers
Full text linkIn bilevel optimization, some of the variables of an optimization problem have to be an optimal solution to another nested optimization problem. This specific structure renders bilevel optimization a powerful tool for modeling hierarchical decision-making processes, which arise in various real-world applications such as in critical infrastructure defense, transportation, or energy. Due to their nested structure, however, bilevel problems are also inherently hard to solve—both in theory and in practice. Further challenges arise if, e.g., bilevel problems under uncertainty are considered.
In this dissertation, we address different types of uncertainties in bilevel optimization using techniques from robust optimization. We study mixed-integer linear bilevel problems with lower-level objective uncertainty, which we tackle using the notion of Gamma-robustness. We present two exact branch-and-cut approaches to solve these Gamma-robust bilevel problems, along with cuts tailored to the important class of monotone interdiction problems. Given the overall hardness of the considered problems, we additionally propose heuristic approaches for mixed-integer, linear, and Gamma-robust bilevel problems. The latter rely on solving a linear number of deterministic bilevel problems so that no problem-specific tailoring is required. We assess the performance of both the exact and the heuristic approaches through extensive computational studies.
In addition, we study the problem of determining optimal tolls in a traffic network in which the network users hedge against uncertain travel costs in a robust way. The overall toll-setting problem can be seen as a single-leader multi-follower problem with multiple robustified followers. We model this setting as a mathematical problem with equilibrium constraints, for which we present a mixed-integer, nonlinear, and nonconvex reformulation that can be tackled using state-of-the-art general-purpose solvers. We further illustrate the impact of considering robustified followers on the toll-setting policies through a case study.
Finally, we highlight that the sources of uncertainty in bilevel optimization are much richer compared to single-level optimization. To this end, we study two aspects related to so-called decision uncertainty. First, we propose a strictly robust approach in which the follower hedges against erroneous observations of the leader's decision. Second, we consider an exemplary bilevel problem with a continuous but nonconvex lower level in which algorithmic necessities prevent the follower from making a globally optimal decision in an exact sense. The example illustrates that even very small deviations in the follower's decision may lead to arbitrarily large discrepancies between exact and computationally obtained bilevel solutions
Peter Krause zum Gedächtnis - Beiträge anlässlich der Gedächtnisfeier zu Ehren Peter Krauses im Jahre 2024 an der Universität Trier
Full text linkPeter Krause verstarb am 19. Februar 2023 nur wenige Tage vor seinem 87. Geburtstag. Zum Andenken an Peter Krause fand am 21. Juni 2024 eine Gedächtnisfeier an der Universität Trier statt – der Universität, an der Peter Krause von 1974 bis zu seiner Emeritierung am 31. März 2004 als ordentlicher Professor für Öffentliches Recht, Sozialrecht und Rechtsphilosophie forschte und lehrte und deren Gründung er maßgeblich begleitete.
Die auf der Gedächtnisfeier gehaltenen Vorträge wurden für die vorliegende Schrift überarbeitet. Sie befassen sich mit Themen, die dem Verstorbenen während seines juristischen Wirkens ein Anliegen waren und spiegeln das breite wissenschaftliche Interessen- und Betätigungsfeld Peter Krauses wider
Essays on the Economics of Gender, Migration, and Labor Market Institutions
Full text linkThe gender wage gap in labor market outcomes has been intensively investigated for decades, yet it remains a relevant and innovative research topic in labor economics. Chapter 2 of this dissertation explores the pressing issue of gender wage disparity in Ethiopia. By applying various empirical methodologies and measures of occupational segregation, this chapter aims to analyze the role of female occupational segregation in explaining the gender wage gap across the pay distribution. The findings reveal a significant difference in monthly wages, with women consistently earning lower wages across the wage distribution.
Importantly, the result indicates a negative association between female occupational segregation and the average earnings of both men and women. Furthermore, the estimation result shows that female occupational segregation partially explains the gender wage gap at the bottom of the wage distribution. I find that the magnitude of the gender wage gap in the private sector is higher than in the public sector.
In Chapter 3, the Ethiopian Demography and Health Survey data are leveraged to explore the causal relationship between female labor force participation and domestic violence. Domestic violence against women is a pervasive public health concern, particularly in Africa, including Ethiopia, where a significant proportion of women endure various forms of domestic violence perpetrated by intimate partners. Economic empowerment of women through increased participation in the labor market can be one of the mechanisms for mitigating the risk of domestic violence.
This study seeks to provide empirical evidence supporting this hypothesis. Using the employment rate of women at the community level as an instrumental variable, the finding suggests that employment significantly reduces the risk of domestic violence against women. More precisely, the result shows that women’s employment status significantly reduces domestic violence by about 15 percentage points. This finding is robust for different dimensions of domestic violence, such as physical, sexual, and emotional violence.
By examining the employment outcomes of immigrants in the labor market, Chapter 4 extends the dissertation's inquiry to the dynamics of immigrant economic integration into the destination country. Drawing on data from the German Socio-Economic Panel, the chapter scrutinizes the employment gap between native-born individuals and two distinct groups of first-generation immigrants: refugees and other migrants. Through rigorous analysis, Chapter 4 aims to identify the factors contributing to disparities in employment outcomes among these groups. In this chapter, I aim to disentangle the heterogeneity characteristic of refugees and other immigrants in the labor market, thereby contributing to a deeper understanding of immigrant labor market integration in Germany.
The results show that refugees and other migrants are less likely to find employment than comparable natives. The refugee-native employment gap is much wider than other migrant-native employment gap. Moreover, the findings vary by gender and migration categories. While other migrant men do not differ from native men in the probability of being employed, refugee women are the most disadvantaged group compared to other migrant women and native women in the probability of being employed. The study suggests that German language proficiency and permanent resident permits partially explain the lower employment probability of refugees in the German labor market.
Chapter 5 (co-authored with Uwe Jirjahn) utilizes the same dataset to explore the immigrant-native trade union membership gap, focusing on the role of integration in the workplace and into society. The integration of immigrants into society and the workplace is vital not only to improve migrant's performance in the labor market but also to actively participate in institutions such as trade unions. In this study, we argue that the incomplete integration of immigrants into the workplace and society implies that immigrants are less likely to be union members than natives. Our findings show that first-generation immigrants are less likely to be trade union members than natives. Notably, the analysis shows that the immigrant-native gap in union membership depends on immigrants’ integration into the workplace and society. The gap is smaller for immigrants working in firms with a works council and having social contacts with Germans. Moreover, the results reveal that the immigrant-native union membership gap is decreasing in the year since arrival in Germany
Arbeits- und Fachkräftemangel in ländlichen Destinationen. Das Beispiel Bernkastel-Wittlich
Full text linkDer Arbeits- und Fachkräftemangel ist ein breit diskutiertes Thema in Deutschland. Auch im Landkreis Bernkas-tel-Wittlich hat diese Herausforderung in den letzten Jahren zunehmend an Bedeutung gewonnen. Ziel dieses Forschungsberichtes ist es deshalb erstens einen Überblick über die Arbeits- und Fachkräftesituation im Land-kreis zu bieten. Aufbauend auf diese Forschungsergebnisse werden zweitens Handlungsfelder benannt, die ei-nen Rahmen zur Stärkung des Landkreises als produktiven Wirtschaftsstandort und attraktiven Arbeitsort geben sollen
Linking Microsimulation and Macroeconomic Models for Labor Market Analyses
Full text linkThere is a wide range of methodologies for policy evaluation and socio-economic impact assessment. A fundamental distinction can be made between micro and macro approaches. In contrast to micro models, which focus on the micro-unit, macro models are used to analyze aggregate variables. The ability of microsimulation models to capture interactions occurring at the micro-level makes them particularly suitable for modeling complex real-world phenomena. The inclusion of a behavioral component into microsimulation models provides a framework for assessing the behavioral effects of policy changes.
The labor market is a primary area of interest for both economists and policy makers. The projection of labor-related variables is particularly important for assessing economic and social development needs, as it provides insight into the potential trajectory of these variables and can be used to design effective policy responses. As a result, the analysis of labor market behavior is a primary area of application for behavioral microsimulation models. Behavioral microsimulation models allow for the study of second-round effects, including changes in hours worked and participation rates resulting from policy reforms. It is important to note, however, that most microsimulation models do not consider the demand side of the labor market.
The combination of micro and macro models offers a possible solution as it constitutes a promising way to integrate the strengths of both models. Of particular relevance is the combination of microsimulation models with general equilibrium models, especially computable general equilibrium (CGE) models. CGE models are classified as structural macroeconomic models, which are defined by their basis in economic theory. Another important category of macroeconomic models are time series models. This thesis examines the potential for linking micro and macro models. The different types of microsimulation models are presented, with special emphasis on discrete-time dynamic microsimulation models. The concept of behavioral microsimulation is introduced to demonstrate the integration of a behavioral element into microsimulation models. For this reason, the concept of utility is introduced and the random utility approach is described in detail. In addition, a brief overview of macro models is given with a focus on general equilibrium models and time series models. Various approaches for linking micro and macro models, which can either be categorized as sequential approaches or integrated approaches, are presented. Furthermore, the concept of link variables is introduced, which play a central role in combining both models. The focus is on the most complex sequential approach, i.e., the bi-directional linking of behavioral microsimulation models with general equilibrium macro models.Es gibt eine Vielzahl von Methoden zur Politikbewertung sowie zur Abschätzung der sozioökonomischen Folgen. Dabei kann zwischen Mikro- und Makroansätzen unterschieden werden. Im Gegensatz zu Mikromodellen, die sich auf die kleinste Einheit konzentrieren, werden Makromodelle zur Analyse aggregierter Variablen verwendet. Mikrosimulationsmodelle sind aufgrund ihrer Fähigkeit zur Erfassung von Wechselwirkungen auf der Mikroebene besonders geeignet für die Modellierung komplexer Phänomene, wie sie in der realen Welt vorkommen. Durch die Einbeziehung einer Verhaltenskomponente wird ein Rahmen für die Bewertung der Auswirkungen von politischen Maßnahmen auf das Verhalten geschaffen.
Die Projektion von arbeitsmarktbezogenen Variablen ist von besonderer Bedeutung für die Bewertung wirtschaftlicher und sozialer Entwicklungserfordernisse, da sie Einblicke in die potenzielle Entwicklung dieser Variablen bietet und die Gestaltung wirksamer politischer Maßnahmen ermöglicht. Dementsprechend stellt die Analyse des Arbeitsmarktverhaltens einen Hauptanwendungsbereich für verhaltensbasierte
Mikrosimulationsmodelle dar. Verhaltensbasierte Mikrosimulationsmodelle
ermöglichen es, die Folgewirkungen, einschließlich der Veränderungen in der Anzahl
der geleisteten Arbeitsstunden und der Erwerbsbeteiligung, die aus politischen Reformen resultieren, zu untersuchen. Es ist jedoch zu beachten, dass die meisten Mikrosimulationsmodelle die Nachfrageseite des Arbeitsmarktes nicht berücksichtigen.
Die Kombination von Mikro- und Makromodellen bietet eine mögliche Lösung und kann die Stärken beider Modelle verbinden. Von besonderer Bedeutung ist die Möglichkeit, Mikrosimulationsmodelle mit allgemeinen Gleichgewichtsmodellen, insbesondere berechenbaren allgemeinen Gleichgewichtsmodellen (CGE-Modellen), zu verknüpfen. CGE-Modelle werden als strukturelle makroökonomische Modelle klassifiziert, die sich durch ihre wirtschaftstheoretische Fundierung auszeichnen. Eine weitere wichtige Kategorie makroökonomischer Modelle, die mit Mikrosimulationsmodellen verknüpft werden, sind Zeitreihenmodelle. Diese Arbeit beschäftigt sich schwerpunktmäßig mit den Möglichkeiten der Verbindung von Mikro- und Makromodellen. Die verschiedenen Arten von Mikrosimulationsmodellen werden vorgestellt, wobei der Fokus auf zeitdiskreten dynamischen Mikrosimulationsmodellen liegt. Das Konzept der verhaltensbasierten Mikrosimulation wird vorgestellt und gezeigt wie Verhaltenselemente in Mikrosimulationsmodelle integriert werden können. Das Nutzenkonzept wird eingeführt und der Ansatz der Random Utility Modelle detailliert beschrieben. Es werden verschiedene Ansätze zur Verknüpfung von Mikro- und Makromodellen betrachtet. Das Konzept der Verbindungsvariablen spielt dabei
eine zentrale Rolle. Der Schwerpunkt dieser Arbeit liegt auf der bi-direktionalen Verbindung von verhaltensbasierten Mikrosimulationsmodellen mit allgemeinen Gleichgewichtsmodellen, welcher als komplexester sequentieller Ansatz angesehen werden kann