Refine
Year of publication
Document Type
- Doctoral Thesis (33)
- Contribution to a Periodical (29)
- Article (8)
- Part of Periodical (6)
- Part of a Book (5)
- Working Paper (5)
- Book (3)
- Other (1)
Keywords
- Deutschland (90) (remove)
Institute
- Politikwissenschaft (30)
- Fachbereich 3 (13)
- Raum- und Umweltwissenschaften (11)
- Wirtschaftswissenschaften (7)
- Fachbereich 4 (4)
- Universitätsbibliothek (4)
- Geschichte, mittlere und neuere (2)
- Medienwissenschaft (2)
- Soziologie (2)
- Fachbereich 5 (1)
- Romanistik (1)
Die vorliegende Arbeit versucht an dem Beispiel der Umsetzung der Vorschriften des § 301 SGB V - Datenaustausch zwischen stationären Einrichtungen und den Krankenkassen - zum einen die Probleme zum anderen aber auch die Lösungsmöglich-keiten eines Datenaustausches in einem sehr heterogenen Umfeld (-Krankenhäuser, Rehabilitationseinrichtungen und Kostenträgern) zu beschreiben. Ziel des Lösungsansatzes ist es gleichzeitig, neben der Erhebung und Weiterleitung der Daten von dem stationären Leistungserbringer an die jeweilige Krankenkasse (gesetzlicher Auftrag) die erhobenen Daten für weitere Analysen - intern wie extern - zu nutzen. Hierbei wird zum einen der Fokus auf die innerbetriebliche Nutzung der Daten gelegt - Kostenrechnung speziell Kostenträgerrechnung - zum anderen wird auch die Frage des externen Betriebsvergleiches (§ 5 BPflV) beleuchtet. Insgesamt wird gezeigt, dass für die weitere Entwicklung des Gesundheitswesens ein in sich einheitliches Datenmodell zwingend notwendig ist um die seit vielen Jahren immer wieder eingeforderte Transparenz des Gesundheitswesen herzustellen. Dies gilt insbesondere für die sektorenübergreifende - ambulant / stationär - Datenzusammenführung. Die Arbeit beschreibt die Fragen und Probleme sowohl der Informatik als auch der Gesundheitsökonomie und zeigt in Form des neu erarbeiteten Referenzmodells einen Lösungsansatz auf. Das Datenmodell enthält auch die notwendigen Informationen für ein DRG-System. Insofern ist eine Änderung des Datenmodells durch die aktuelle Einführung eines deutschen DRG - Systems nicht notwendig.
Do Personality Traits, Trust and Fairness Shape the Stock-Investing Decisions of an Individual?
(2023)
This thesis is comprised of three projects, all of which are fundamentally connected to the choices that individuals make about stock investments. Differences in stock market participation (SMP) across countries are large and difficult to explain. The second chapter focuses on differences between Germany (low SMP) and East Asian countries (mostly high SMP). The study hypothesis is that cultural differences regarding social preferences and attitudes towards inequality lead to different attitudes towards stock markets and subsequently to different SMPs. Using a large-scale survey, it is found that these factors can, indeed, explain a substantial amount of the country differences that other known factors (financial literacy, risk preferences, etc.) could not. This suggests that social preferences should be given a more central role in programs that aim to enhance SMP in countries like Germany. The third chapter documented the importance of trust as well as herding for stock ownership decisions. The findings show that trust as a general concept has no significant contribution to stock investment intention. A thorough examination of general trust elements reveals that in group and out-group trust have an impact on individual stock market investment. Higher out group trust directly influences a person's decision to invest in stocks, whereas higher in-group trust increases herding attitudes in stock investment decisions and thus can potentially increase the likelihood of stock investments as well. The last chapter investigates the significance of personality traits in stock investing and home bias in portfolio selection. Findings show that personality traits do indeed have a significant impact on stock investment and portfolio allocation decisions. Despite the fact that the magnitude and significance of characteristics differ between two groups of investors, inexperienced and experienced, conscientiousness and neuroticism play an important role in stock investments and preferences. Moreover, high conscientiousness scores increase stock investment desire and portfolio allocation to risky assets like stocks, discouraging home bias in asset allocation. Regarding neuroticism, a higher-level increases home bias in portfolio selection and decreases willingness to stock investment and portfolio share. Finally, when an investor has no prior experience with portfolio selection, patriotism generates home bias. For experienced investors, having a low neuroticism score and a high conscientiousness and openness score seemed to be a constant factor in deciding to invest in a well-diversified international portfolio
Survey data can be viewed as incomplete or partially missing from a variety of perspectives and there are different ways of dealing with this kind of data in the prediction and the estimation of economic quantities. In this thesis, we present two selected research contexts in which the prediction or estimation of economic quantities is examined under incomplete survey data.
These contexts are first the investigation of composite estimators in the German Microcensus (Chapters 3 and 4) and second extensions of multivariate Fay-Herriot (MFH) models (Chapters 5 and 6), which are applied to small area problems.
Composite estimators are estimation methods that take into account the sample overlap in rotating panel surveys such as the German Microcensus in order to stabilise the estimation of the statistics of interest (e.g. employment statistics). Due to the partial sample overlaps, information from previous samples is only available for some of the respondents, so the data are partially missing.
MFH models are model-based estimation methods that work with aggregated survey data in order to obtain more precise estimation results for small area problems compared to classical estimation methods. In these models, several variables of interest are modelled simultaneously. The survey estimates of these variables, which are used as input in the MFH models, are often partially missing. If the domains of interest are not explicitly accounted for in a sampling design, the sizes of the samples allocated to them can, by chance, be small. As a result, it can happen that either no estimates can be calculated at all or that the estimated values are not published by statistical offices because their variances are too large.
Algorithmen als Richter
(2022)
Die menschliche Entscheidungsgewalt wird durch algorithmische
Entscheidungssysteme herausgefordert. Verfassungsrechtlich besonders
problematisch ist dies in Bereichen, die das staatliche Handeln betreffen.
Eine herausgehobene Stellung nimmt durch den besonderen Schutz der
Art. 92 ff. GG die rechtsprechende Gewalt ein. Lydia Wolff fragt daher danach, welche Antworten das Grundgesetz auf digitale Veränderungen in diesem Bereich bereithält und wie sich ein Eigenwert menschlicher Entscheidungen in der Rechtsprechung angesichts technischen Wandels darstellen lässt.
Das Werk erörtert hierzu einen Beitrag zum verfassungsrechtlichen
Richterbegriff und stellt diesen etablierten Begriff in einen Kontext neuer digitaler Herausforderungen durch algorithmische Konkurrenz.
For decades, academics and practitioners aim to understand whether and how (economic) events affect firm value. Optimally, these events occur exogenously, i.e. suddenly and unexpectedly, so that an accurate evaluation of the effects on firm value can be conducted. However, recent studies show that even the evaluation of exogenous events is often prone to many challenges that can lead to diverse interpretations, resulting in heated debates. Recently, there have been intense debates in particular on the impact of takeover defenses and of Covid-19 on firm value. The announcements of takeover defenses and the propagation of Covid-19 are exogenous events that occur worldwide and are economically important, but have been insufficiently examined. By answering open research questions, this dissertation aims to provide a greater understanding about the heterogeneous effects that exogenous events such as the announcements of takeover defenses and the propagation of Covid-19 have on firm value. In addition, this dissertation analyzes the influence of certain firm characteristics on the effects of these two exogenous events and identifies influencing factors that explain contradictory results in the existing literature and thus can reconcile different views.
Überblicksdarstellung zur deutschsprachigen Casanova-Rezeption mit Schwerpunkt 20. Jahrhundert (in französischer Sprache).
Über zeitgenössische Reaktionen auf den Vandalismus der französischen Revolutionsära im deutschsprachigen Raum.
