Real estate and real estate finance as a research field—an international overview

We present a citation-based analysis of the most important journals on real estate and real estate finance over a time period from 1986 to 2010. For each year, those three articles with the highest number of citations according to Google Scholar are identified. A thorough analysis of all 75 selected articles reveals that the focus of interest has been on (1)empirical research, (2) mainly using data ofresidential real estate, with (3) the primary objective of evaluating real estateinvestment until the midst 1990s. In order to derive reliable risk-return relations for real estate investment, (4) asset pricing as the main task of real estateappraisal is in the centre of attention, too. Appraisal issues have relatively gained importance for the last fifteen years in comparison to investment issues. Interdisciplinary aspects and sustainable issues are only very rarely integrated in appraisal methods, the focus is primarily on maximizing economic returns. Therefore, our citation analysis confirms that the Financial Management Approach of Dasso and Woodward (1980) is the predominant approach particularly in the United States. Our findings regarding our basic sample of articles are cross-checked by several robustness tests. For future research activities, it seems to be quite promising to focus on the one hand on interdisciplinary aspects and on the other hand to contribute to the theoretical foundation of real estate with the aim of developing a common body of knowledge.     

Median split, k-group split, and optimality in continuous populations

Continuous populations are grouped in many social, economic, medical, or technical fields of research. However, by grouping them, a lot of information provided by the continuous population is lost. Especially the median split, which is still adopted by many researchers, and its generalization to an equiprobable k-group split lead to a high efficiency loss. Here, this loss of information is investigated by analytical and numerical analyses for some typical symmetric and skew population distributions often found in applications. Various distribution parameters, numbers of groups, and split methods are taken from theoretical considerations and real data sets. Losses sometimes in excess of 50% can be reduced by optimal grouping.     

Evaluation of an inter-organizational program for prevention of work-related injuries in a WHO Safe Community

OBJECTIVE: To evaluate the effect of a community-based injury prevention program on work-related injuries. STUDY DESIGN: A population-based quasi-experimental design was used with pre- and post-implementation measurements in an intervention and a control area. The program was based on cross-sectoral participation in detecting and taking action against work-related injuries. Change in the relative risk of injury was estimated by the odds ratio. RESULTS: The relative risk of work-related injury decreased following program exposure, whereas a tendence toward increase was observed in the control area. Middle-aged men accounted for the largest decrease in injury risk. Among the women, a decrease was observed only in the upper middle-aged group. No female-dominated occupational area showed a decrease in injury risk following exposure to the program. CONCLUSION: The study showed that the community-based approach had a general effect on the incidence of work-related injuries.     

Kernel Estimation of the Spectral Density of Stationary Random Closed Sets

A non‐parametric kernel estimator of the spectral density of stationary random closed sets is studied. Conditions are derived under which this estimator is asymptotically unbiased and mean‐square consistent. For the planar Boolean model with isotropic compact and convex grains, an averaged version of the kernel estimator is compared with the theoretical spectral density.