The transport and urban economics literature applies different labor supply approaches when studying economic or planning instruments. Some studies assume that working hours are endogenous while the number of workdays is given, whereas others model only decisions on workdays. Unfortunately, empirical evidence does hardly exist on account of missing data. Against this background, we provide an assessment of whether general effects of transport policies are robust against the modeling of leisure demand and labor supply. We introduce different labor supply approaches into a spatial general equilibrium model and discuss how they affect the welfare implication of congestion policies. We, then, perform simulations and find that in many cases the choice of labor supply modeling not only affects the magnitude of the policy impact but also its direction. While planning instruments are suggested to be quite robust to different labor supply approaches, the way of modeling labor supply may crucially affect the overall welfare implications of economic instruments such as congestion tolls. Based on these findings it becomes clear which labor supply approach is the most appropriate given specific conditions. Our study also emphasizes the need for better micro labor market data that also feature days of sickness, overtime work used to reduce workdays, the actual number of leave days, part-time work, days with telecommuting etc.

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Die Schriftenreihe Betriebliche Umweltökonomie und Nachhaltigkeitsmanagement bietet ein interdisziplinäres Forum für Forschung über aktuelle Themen im Bereich der trans-, interdisziplinären sowie systemisch und integrativ ausgerichteten Nachhaltigkeitsforschung. In der Schriftenreihe werden innovative wissenschaftliche Aufsätze und konzeptionelle Beiträge zur Stärkung der inter- und transdisziplinären Nachhaltigkeitsforschung publiziert. Mit der Veröffentlichung von Studien-, Seminar- und Forschungsergebnissen trägt die Technische Universität Chemnitz essentiell dazu bei, den Wissenstransfer zwischen Forschungseinrichtungen sowie zwischen Praxis und Wissenschaft zu fördern. Das Themenspektrum der Schriftenreihe ist breit gefächert und zielt auf Forschungsarbeiten und Praxiserfahrungen aus ökonomischer und interdisziplinärer Sicht. In der Schriftenreihe werden Beiträge sowohl in deutscher als auch in englischer Sprache veröffentlicht. Begutachtung: Zur Sicherstellung der wissenschaftlichen Qualität, wird jeder Beitrag durch ein bis zwei Fachexpert/innen begutachtet. Die Begutachtung orientiert sich dabei an den folgende Kriterien: - wissenschaftliche Innovativität und Originalität des Beitrags - Relevanz für Nachhaltigkeitsforschung und -praxis - klare Fragestellung und Argumentationslinien - inhaltliche, theoretische und methodische Fundierung / The scientific series of corporate environmental economics and sustainability management offers an interdisciplinary forum for research on current topics in the area of trans-, interdisciplinary and systemic and integrative sustainability research. Innovative scientific essays and conceptual contributions strengthening interdisciplinary and transdisciplinary sustainability research are published in the series. With the publication of study, seminar and research results, the Technical University of Chemnitz contributes significantly to the transfer of knowledge between research facilities and between practice and science. The series comprises a broad thematic spectrum and aims at research and practical experience from an economic and interdisciplinary perspective. Contributions are possible in German and English. Review: Ensuring scientific quality each contribution is assessed by one or two scientific experts. The review process is based on the following criteria: - scientific innovation and originality of the contribution - relevance to sustainability research and practice - clear questions and lines of argument - profound content, theory and methodology

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In der ökonomischen Forschung wird eine Vielzahl von Strategien verwendet, um zu versuchen kausale Schlussfolgerungen aus Beobachtungsdaten zu ziehen. Neue Strömungen in der Literatur zu kausaler Inferenz konzentrieren sich auf die Kombination von Methoden zur Vorhersage und kausalen Fragestellungen. Diese neuen Methoden ermöglichen es neue Forschungsfragen zu beantworten und bieten die Möglichkeit bestehende Forschungsfragen in der Literatur neu zu adressieren. Diese Dissertation umfasst empirische Arbeiten in den Bereichen (i) Umweltökonomie: Ich evaluiere die Preispolitik für Abfälle mithilfe der “synthetic control” Methode und Methoden des maschinellen Lernens; (ii) Arbeits- und Migrationsökonomie: Ich identifiziere und quantifiziere nicht gemeldete landwirtschaftliche Arbeitsleistung, die durch einen plötzlichen Migrationszustrom verursacht wird; (iii) Konfliktökonomie: Ich analysiere die wirtschaftlichen Kosten eines hybriden Krieges, des Donbass-Krieges in der Ukraine. Der Beitrag dieser Dissertation zur bestehenden Literatur ist dreifach. Erstens kombiniere ich neuartige Datenquellen und stelle neue Datensätze bereit. Zweitens verwende ich moderne Evaluierungsmethoden und passe sie an, um politisch relevante kausale Parameter in verschiedenen Bereichen der ökonomischen Forschung abzuschätzen. Drittens vergleiche ich neuere mit traditionellen ökonometrischen Ansätzen, die zuvor in der Literatur verwendet wurden. Meine Dissertation zeigt, dass moderne ökonometrische Techniken vielversprechend sind, um die Genauigkeit und Glaubwürdigkeit von kausalen Schlussfolgerungen und die Evaluierung von Politikmassnahmen zu verbessern. / In economics, researchers use a wide variety of strategies for attempting to draw causal inference from observational data. New developments in the causal inference literature focus on the combination of predictive methods and causal questions. These methods allow researchers to answer new research questions as well as provide new opportunities to address older research question in the literature. This dissertation entails empirical work in the fields of (i) environmental economics: I evaluate waste pricing policies using synthetic controls and machine learning methods; (ii) labor and migration economics: I identify and quantify unreported farm labor induced by a sudden migrant inflow; (iii) conflict economics: I evaluate the economic costs of an hybrid war, namely, the Donbass war in Ukraine. The contribution of this dissertation is threefold. First, I combine novel data sources and provide unique datasets. Second, I apply and tailor modern evaluation methods to the estimation of policy-relevant causal parameters in various fields of economics. Third, I compare recent versus traditional econometric approaches previously employed by the literature. My dissertation shows that modern econometric techniques hold great promise for improving the accuracy and credibility of causal inference and policy evaluation.

The transport and urban economics literature applies different labor supply approaches when studying economic or planning instruments. Some studies assume that working hours are endogenous while the number of workdays is given, whereas others model only decisions on workdays. Unfortunately, empirical evidence does hardly exist on account of missing data. Against this background, we provide an assessment of whether general effects of transport policies are robust against the modeling of leisure demand and labor supply. We introduce different labor supply approaches into a spatial general equilibrium model and discuss how they affect the welfare implication of congestion policies. We, then, perform simulations and find that in many cases the choice of labor supply modeling not only affects the magnitude of the policy impact but also its direction. While planning instruments are suggested to be quite robust to different labor supply approaches, the way of modeling labor supply may crucially affect the overall welfare implications of economic instruments such as congestion tolls. Based on these findings it becomes clear which labor supply approach is the most appropriate given specific conditions. Our study also emphasizes the need for better micro labor market data that also feature days of sickness, overtime work used to reduce workdays, the actual number of leave days, part-time work, days with telecommuting etc.

Modern agriculture is causing a wide range of environmental problems. By regulating the agricultural sector, human societies try to find a balance between enabling the production of food and public goods and preventing negative consequences for the environment. In the European Union this is mainly achieved through the Common Agricultural Policy (CAP). Since many of the environmental indicators are still showing negative trends, an ongoing evaluation and adaptation of the policy instruments included in the CAP is asked for. At the same time, the field of policy evaluation is more and more incorporating a behavioral economic perspective on human behavior, one that deviates from the homo oeconomicus model that has long dominated research in this area. This thesis presents a study on “Behavioral Economics of Agri-Environmental Policies” by combining themes from agricultural and environmental economics with methods and perspectives from behavioral and experimental economics. It thereby contributes to the emerging field of behavioral agricultural economics. Specifically, it aims to shed light on the behavioral drivers of pro-environmental decisions of farmers and how these insights can be used to evaluate and adapt the CAP. With a lab-in-the-field experiment with farmers from Lower Saxony in Germany, an influence of the framing of the farmers’ societal role, their self-identity, as well as control aversion and feelings of warm glow on farmers’ behavior was uncovered. From a policy perspective, the results of this thesis provide a case for the continued use of both mandatory and voluntary policy instruments. Furthermore, with a Principal Components and Cluster Analysis, a multi-facetted picture of different farmer self-identities prevalent in the sample population was revealed. Based on a literature review, the thesis also provides an analysis of how behaviorally-informed interventions might increase the environmental performance of the CAP in the future.

Modern Web or ¿Eternal-Beta¿ applications necessitate a flexible and easy-to-use data management platform that allows the evolutionary development of databases and applications. The classical approach of relational database systems following strictly the ACID properties has to be extended by an extensible and easy-to-use persistency layer with specialized DB features. Using the underlying concept of Software as a Service (SaaS) also enables an economic advantage based on the ¿economy of the scale¿, where application and system environments only need to be provided once but can be used by thousands of users. Within this tutorial, we are looking at the current state-of-the-art from different perspectives. We outline foundations and techniques to build database services based on the SaaS-paradigm. We discuss requirements from a programming perspective, show different dimensions in the context of consistency and reliability, and also describe different non-functional properties under the umbrella of Service-Level agreements (SLA).