Das vorliegende Dissertationsprojekt hatte zwei zentrale Schwerpunkte. Den ersten Schwerpunkt bildete die innovative Insolvenzprognosemodellierung für ukrainische Unternehmen.Dafür wurde im Wesentlichen die moderne internationale Standardmethodik zur Insolvenzprognose auf Basis der...

This paper investigates the effects of ordinal regressors in linear regression models. Each ordered categorical variable is interpreted as a rough measurement of an underlying continuous variable as it is often done in microeconometrics for the dependent variable. It is shown that using ordinal...

In many scientific studies, the response variable bears a generalized nonlinear regression relationship with a certain covariate of interest, which may, however, be confounded by other covariates with unknown functional form. We propose a new class of models, the partly parametric generalized...

This dissertation studies the question of nonlinearities in the Phillips curve relationshipin France, Germany and Italy. The implications from the theoretical models are that themechanisms that make the Phillips curve nonlinear can work through different channels.Therefore, this thesis not just...

The field of nonlinear regression is a long way from reaching a consensus. Once a method decides to explore nonlinear combinations of predictors, a number of questions are raised, such as what nonlinear combinations to permit and how best to search the resulting model space. Genetic Association...

A time series analysis was performed on medical scheme statistics with the aim of determining current and future demographic and economic trends. This would enable one to reach a better perspective on the current and future financial dilemma presently experienced by medical schemes. Data for the...

In an increasingly competitive environment, firms have to optimally adjust both their allocation of input factors and their technology portfolio. The latter determines economies of scope and scale in future research and production. The aim of this dissertation is to achieve better insight into...

This dissertation consists of three stand-alone research papers, all of which treat the topic of estimation and dynamic modelling of multivariate volatility by employing the information contained in high-frequency data, which became available in the last 10 - 15 years. The main focus of all...

This dissertation introduces three novel approaches for the econometric evaluation of heterogeneous treatment effects. The proposed methods consider the effects of a binary treatment on different characteristics of the outcome distribution.Section 1 proposes an estimation method for various...