Dokumente Wirtschaftswissenschaftliche Fakultät nach Erscheinungsdatum
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Estimating and evaluating mixed and semiparametric models with statistical and deep learning methods
(2023-09-11)Semiparametric models are well-established, versatile and effective statistical models for analysing complex data by combining both parametric and non-parametric components and are used in a wide range of applications and ... -
SME Innovation in Regional Innovation Systems
(2023-08-31)This dissertation analyzes innovations in small and medium-sized enterprises (SMEs) using the concept of regional innovation systems (RIS). The research shows the heterogeneity of innovation processes in SMEs and regions ... -
Corporate valuation with mixed financing strategies and cross-border relations
(2023-08-31)Corporate valuation is a theoretically challenging but practically highly relevant field. It is usually conducted using discounted cash flow (DCF) methods. One important part of corporate valuation with DCF methods are ... -
Digitization of High-Stakes Exams
(2023-08-31)The opportunities for digitization in education have been addressed in research and practice for a long time. These extend across all components of the Curriculum-Instruction-Assessment (CIA) triad according to PELLEGRINO ... -
On the Determinants of Premiums in Financial Markets
(2023-08-24)This dissertation analyzes the pricing, exposures as well as information content of options. It aims to fill research gaps in the existing options-literature in the research fields of volatility-related pricing, option-exposures ... -
The influence of vocational education and training on innovation
(2023-08-22)My dissertation aims at analyzing the relevance of vocational education and training (VET) on firm innovation in Germany. It makes a twofold contribution to the innovation literature: Firstly, it complements studies on ... -
Semi-Parametric Distributional Regression in Forestry and Ecology
(2023-08-10)Recent advances in machine learning software, such as automatic differentiation and just-in-time (JIT) compilation, have significantly changed machine learning research. They have accelerated model development and contributed ... -
Förderung von Belastungs-Beanspruchungs-Bewältigung bei Auszubildenden in der Pflege
(2023-06-02)The nursing profession is characterized by a particularly high stress level. This in turn has an impact on the quality of care and the retention of nurses. Against the backdrop of an aging society and the resulting increasing ... -
Development of Material Flow Cost Accounting and Value Added Statements as Planning Instruments for Sustainability Management
(2023-06-01)In companies, the environmental and social objectives of employees, society, and customers have become in relation to the primary economic goals of the equity holders more important. The partially contrary relationships ... -
Reflections on Text Mining Approaches in Corporate Failure Prediction based on German Financial Statements
(2023-05-05)The field of corporate risk assessment is in a state of flux due to society's increased expectations of statistical methods, which are classified as part of the field of machine learning. While in earlier times multivariate ... -
Algorithmic Decision-Making, Economic Behavior and Predictability in Financial Markets
(2023-05-05)Digital transformation is producing a growing number of technological innovations that have an impact on our daily lives. In a variety of areas, economic agents increasingly have the opportunity to interact with algorithms, ... -
Designing fiscal policy
(2023-04-24)This dissertation, comprising three academic papers, deals with the trade-off between fiscal sustainability and macroeconomic stabilization. The first paper examines the specification of fiscal reaction functions: We argue ... -
Extending the Boosting Framework based on Bayesian Methodology
(2023-03-31)The boosting technique emerged from machine learning has become a widely used method to estimate statistical models. As one of the most successful variants, componentwise gradient boosting has been favored by more and more ... -
Essays on structured additive regression models with applications in development economics
(2023-03-17)Structured additive regression models are a particular class of models that provide a flexible framework to deal with a wide class of effects, including linear, nonlinear, random, spatial, and interaction effects, which ... -
Essays in Development and Health Economics
(2023-03-06)This dissertation consists of four essays, which are all based on primary data. In the first essay, we describe and attempt to explain the state and functionality of pre-schools (Anganwadi Centres) in Bihar, India. We find ... -
Textual Information in Analyst Reports and its Value for Decision Support
(2023-02-16)The profession of financial analysts requires skills that cannot be replaced even by today’s most cutting-edge analytical tools. Instead, ongoing globalization and the increasing interconnectedness of international financial ... -
Decision Support for Credit Risk Management Using Alternative Data
(2023-02-16)The digitization of economic activity of individuals and organizations has been a significant trend in recent decades. This shift creates incentives to collect and process data relevant to the information needs of diverse ... -
Access to Care for Cardiometabolic Diseases in Low- and Middle-Income Countries
(2023-01-26)The objective of this dissertation is to contribute to evidence on access to care for cardiovascular disease (CVD) – the most common cause of death globally – by a) describing the state of hypercholesterolemia care in a ... -
Algorithm Aversion and Other Causes of Bias in Decision Behavior
(2022-11-28)The present thesis contributes to the debate on whether the neoclassical economic theory is suitable to describe economic reality. It covers the three topics of algorithm aversion, analysis of capital market forecasts, and ... -
Studies on Digital Transformation and its Implications for Business Models and Corporate Communication
(2022-10-19)Due to an ongoing digitalization of societies and businesses and an increasingly intense and complex competitive environment, incumbent firms need to stay up to date with technological advancements and digitally transform ...