Awareness as a foundation for developing effective spatial data infrastructures

The development of an effective spatial data infrastructure (SDI) often occurs in a fragmented organizational environment requiring a high level of inter-organizational collaboration. Different organizations from various jurisdictions need to work together closely when agreeing on how they will jointly register, store, use and share data and how they will make their data available to the wider society. However, this collaboration is generally regarded as very difficult. For example people often resist data sharing across organizational boundaries due to loss of control, power and independency. Organizational issues are thus considered one of the fundamental constraints to inter-organizational sharing of spatial data.     

Fare Thee Well? An Analysis of Buyout Funds’ Exit Strategies

This paper analyzes exit strategies of buyout funds in portfolio companies following initial public offerings (IPOs). We use a data set of 222 buyout‐backed IPOs in the United States from 1999 to 2008, including hand‐collected data about each exit process, to draw a detailed roadmap of buyout investors’ divestment processes. Using this data, we document the timing and aggressiveness of the exit strategies, and analyze to which degree a multitude of possible determinants influence the choice of a given exit strategy. Our results indicate that buyout funds remain invested in their portfolio companies for a substantial period of time after the IPO, and that the choice of a given exit strategy depends not only upon the characteristics of each respective portfolio company, but also on the financial success of the deal from the perspective of the buyout investor.     

Triangulation: Validity and empirically-based hypothesis construction

The essay focuses on the opportunities and strengths of a multi-method approach, widely called methodological triangulation, in which different investigative methods are applied to one research object. In practice, this can be realized with the coupling of quantitative structural data concerning the life course and the interpretation and evaluation of life course data collected with qualitative methods. This approach is examined in order to shed light on the problem that research findings often show different phenomena and not the different aspects of one phenomenon. The discussion of the relationships of the findings to one another (congruent, complementary or divergent) shows that in this context a multi-method approach can nevertheless be used to increase validity and to test hypotheses. Further, its particular strengths are the empirically induced modification of existing models and theories, as well as the development of new explanations.     

‘HAVE YOU FELT ANGRY LATELY?’: A NOTE ON UNFAIR WAGE PERCEPTIONS AND THE NEGATIVE EMOTION OF ANGER

The author analyses the nexus between unfair wage perceptions of workers and the frequency of the negative emotion of anger. For this purpose, German household panel data for the years 2007, 2009, 2011 and 2013 are used. Angry feelings in the last four weeks have occurred significantly more frequently for workers who perceive their wage as unfair, whereas the own absolute hourly wage is not significantly correlated with the frequency of having felt angry. The results further indicate that workers have felt more often angry if working hours are larger; but the economic significance seems rather small compared to unfair wage perceptions.     

Natural resource rents and internal conflicts: Can decentralization lift the curse?

We study how natural resource rents affect the risk of internal conflict within countries and how the federal structure of countries influences this relationship. Natural resource abundance may induce excessive rent-seeking and thus increase the risk of internal conflict. Fiscal and political decentralization as an institutional arrangement for rent-sharing and political codetermination of regions within a country may limit the destructive effect of natural resource rents on internal stability. Using cross-country and panel data from more than 90 countries covering the period 1984–2004, we find evidence that natural resource rents indeed increase the risk of internal conflict, but this relationship is significantly mitigated by political decentralization.     

Competition and managerial autonomy

I formalize and challenge the idea that competition forces managers to make better choices, thus favoring managerial autonomy in decision making. If managers care about keeping their position or avoiding interference, and they can make strategic choices that affect both expected firm profits and their riskiness, even if competition at first pushes the manager towards profit maximization, further increases in competition might lead him to take excessive risks. To curb this possibility, the principal owner optimally reduces the degree of autonomy granted to the manager. Hence, higher levels of managerial autonomy are more likely for intermediate levels of competition.     

What Drives Fraud in a Credence Goods Market? – Evidence from a Field Study

This paper investigates the impact of competition on an expert firm's incentive to defraud its customers in a credence goods market. Controlling for the competence of car repair shops, their financial situation, and reputational concerns, we use and complement the data set from a nationwide field study conducted by the German Automobile Association that regularly checks the reliability of garages in Germany. We find that more intense competition lowers a firm's incentive to defraud its customers.     

Two-stage non Gaussian QML estimation of GARCH models and testing the efficiency of the Gaussian QMLE

In generalized autoregressive conditional heteroskedastic (GARCH) models, the standard identifiability assumption that the variance of the iid process is equal to 1 can be replaced by an alternative moment assumption. We show that, for estimating the original specification based on the standard identifiability assumption, efficiency gains can be expected from using a quasi-maximum likelihood (QML) estimator based on a non Gaussian density and a reparameterization based on an alternative identifiability assumption. A test allowing to determine whether a reparameterization is needed, that is, whether the more efficient QMLE is obtained with a non Gaussian density, is proposed.