This paper studies the interaction of financing constraints and labor market imperfections on the labor market and economic activity. My analysis builds on the agency cost framework of Carlstrom and Fuerst [1998. Agency costs and business cycles. Economic Theory, 12(3):583-597]. The aim of this...

Human capital investment is formed through households' endogenous decision, and competes with physical capital investment. Idiosyncratic shock shifts the skilled labor share and changes tightness in both skilled and unskilled markets. Given inelastic labor participation, the model can generate...

Eine große Herausforderung der multivariablen Analyse mit bilanziellen Kennzahlen besteht in der Identifikation derjenigen Kennzahlen, die zur besten Modellperformance führen und dabei möglichst leicht interpretierbar und intuitiv bleiben. Die Menge der in Frage kommenden Kennzahlen ist in...

This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches which do not require parametric functional assumptions on the underlying asset price dynamics nor on the distributional form of the risk neutral density. The first estimator is a...

Good corporate reputation is seen as one of the most valuable assets. It is believed to cause a multitude of favorable impacts within different stakeholder groups. As a consequence, a multitude of studies analyzed the relationship between corporate reputation and financial performance. However,...

In general, consumer preferences depend on the context of a decision situation. This paper highlights the context-dependence of substitution behavior in out-of-stock (OOS) situations and provides evidence for the relevance of promotion as essential driver of customers' OOS reactions. We...

Out-of-Stock (OOS) is a prevalent problem customers face at the POS. In this paper, we demonstrate both theoretically and empirically how OOS-induced substitution patterns can be explained and predicted by means of context and phantom theory. We further analyze the relevance of promotions, for...

We present a comprehensive framework for Bayesian estimation of structural nonlinear dynamic economic models on sparse grids. The Smolyak operator underlying the sparse grids approach frees global approximation from the curse of dimensionality and we apply it to a Chebyshev approximation of the...

We present an object-oriented software framework allowing to specify, solve, and estimate nonlinear dynamic general equilibrium (DSGE) models. The implemented solution methods for finding the unknown policy function are the standard linearization around the deterministic steady state, and a...

We consider the problem of estimating the fractional order of a Lévy process from low frequency historical and options data. An estimation methodology is developed which allows us to treat both estimation and calibration problems in a unified way. The corresponding procedure consists of two...