Die niederländische Gesundheitsreform 2006 – Vorbild für eine weitere Reform des Krankenversicherungswesens in Deutschland?

The health sector of many European countries has been subject of a profound process of change for years. Since the federal elections of 2009 a discussion on the direction of the German health insurance system has emerged. In this context, German neighboring countries like Switzerland or the Netherlands are considered due to their changes in health policy for decades. This work deals with the effects of the recent Dutch health care reform. Due to the combination of the two elements “Bürgerversicherung” and “Kopfpauschale”, it serves as a possible model for further reform in the German health system since its introduction in 2006. Special attention was paid to the consolidation of statutory and private insurance in a general citizens insurance in the Netherlands “three-pillar model”. Because of the medium-term time horizon, financial impacts on state and private households and changes in competition between insured individuals, insurers and providers could be analysed. Especially, positive effects in terms of increasing competition and reducing the two-tier health care became apparent.     

Hot and cold merger markets

We study mergers and acquisition during the period from 1988 to 2005 and examine the impact of merger market intensity, i.e., merger waves, on the means of payment and the returns to target and acquirer shareholders. We use two proxies to measure the intensity of the merger market—the number of mergers in the trailing 12-month period prior to a merger and the total dollar volume of mergers in the trailing 12-month period prior to a merger—and use these measures to define hot and cold merger markets. We find that stock financing is more common after a stock price run-up for the acquiring firm and in hot merger markets. We also find that the acquisition premium is larger in hot merger markets. Returns to acquiring company shareholders are lower for stock financed mergers and are lower when merger markets are intense. Our results are consistent with the predictions of the behavioral theory for merger waves.     

Asymmetric Adjustment in the City of London Office Market

Earlier estimates of the behavior of the City of London office market are extended by considering a longer time series of data, covering two full cycles, and by explicitly modeling asymmetric space market responses to employment and supply shocks. A long run structural model linking real rental levels, office-based employment and the supply of office space is estimated and then rental adjustment processes are modeled using an error correction model framework. Rental adjustment is seen to be asymmetric, depending both on the direction of the supply and demand shocks and on the state of the space market at the time of the shock. Vacancy adjustment does not display statistically significant asymmetries. There is also a supply adjustment equation. Two three-equation systems, one with symmetric rental adjustment and the other with asymmetric adjustment, are subjected to positive and negative shocks to employment. These illustrate differences in the properties of the two systems.     

Flood Hazards and Urban Housing Markets: The Effects of Katrina on New Orleans

This study examines the impacts on consumers’ willingness to pay for certain characteristics of housing in greater New Orleans before and after the flooding of Hurricane Katrina. Single-family home sales from January 2004 to August 2006 are collected and used in a hedonic price function to estimate the changes in the value of amenities, and structural, neighborhood and geographic characteristics, including the mean elevation of each property. Elevation, which buyers did not know for certain prior to the storm, but may now be inferred from water level marks in most neighborhoods, is found to have a positive relationship with selling prices. Results indicate that pre-Katrina, there was a premium of only 1.4% per foot in flood-prone areas, and was insignificant in areas not subject to flooding. This increased to 4.6% for flooded areas after Katrina. These findings are attributed to not only the perceived risk of flooding, but also to the potential of higher compliance costs associated with rebuilding under more stringent National Flood Insurance Program (NFIP) guidelines.     

A Theory on REIT’s Advisor Choice and the Optimal Compensation Mechanism

This paper proposes a model which examines the power of monitoring and forcing contract on improving managerial efficiency. We put particular focus on its implication regarding the choice of advisor type used by REITs. This question has long been a puzzling one in real estate literature. Our model provides a theoretical justification regarding the potential appeal of external managerial structure, which is usually regarded as being inferior to internal managerial structure. A crucial driving force regarding advisor choice is the heterogeneity on monitoring power between internal and external advisors and across REIT firms. Provided that the gap of monitoring power is large enough between internal and external advisors, shareholders could make use of the heterogeneity, and induce higher effort levels from external advisors. We motivate the rationale for expecting a “monitoring advantage” over external management from two aspects: the dual-role of external advisory firm and a bigger reputational cost associated with external advisor. Furthermore, we are able to specify the range within which an improved monitoring power is Pareto-optimal for both REIT shareholders and advisors. One implication is that, as agents, it may also be to the benefit of advisors to be better monitored. Finally, we compare the difference between fixed and stochastic forcing contracts. Our findings show that with their imperfect performance measures, the stochastic forcing contracts always dominate the fixed one.     

Rising UI benefits over time

We re-examine a key result in the optimal UI literature that benefits should decline over time. We show that when the population is heterogeneous, Pareto-efficiency may call for multiple payment schedules, some with benefits that fall over time and some with benefits that rise over time.     

A fast Fourier transform technique for pricing American options under stochastic volatility

This paper develops a non-finite-difference-based method of American option pricing under stochastic volatility by extending the Geske-Johnson compound option scheme. The characteristic function of the underlying state vector is inverted to obtain the vector’s density using a kernel-smoothed fast Fourier transform technique. The method produces option values that are closely in line with the values obtained by finite-difference schemes. It also performs well in an empirical application with traded S&P 100 index options. The method is especially well suited to price a set of options with different strikes on the same underlying asset, which is a task often encountered by practitioners.