Economic forecasts are utilized to decrease uncertainty relating to planning processes of companies and governments. Empirical research shows evidence that the level of forecast quality is generally rather poor. In order ...

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 ...

The level of regulation of disclosure and corporate governance on the national and supranational level has increased substantially in the last decade. With that in mind, and in the light of the demand for evidence-based ...

In recent years, consumers have become more sensitive to the social, economic, and environmental consequences of their market choices. More and more consumers vocally oppose socially irresponsible production patterns and ...

Motivated by the growing relevance of the so-called Emerging Economies, this doctoral thesis conducts an empirical analysis grounded in three sub-disciplines of empirical economic research. In three essays, this work ...

In this dissertation I present novel findings that analyze the effects of insurances on the resilience to shocks and household's risk taking behavior. Moreover, the question is raised as to whether there could actually be ...

This dissertation identifies rural livelihood, migration, and human capital formation as the three major elements of rural-urban linkages which help to transform a predominantly agrarian ...

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 ...

The aim of my PhD projects is to investigate various problems in applied parametric and nonparametric estimation, and eventually in prediction. The main focus is on welfare analysis. For instance, in both nonparametric density ...

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 ...