Ein Optimierungsansatz für ein fortlaufendes Datenqualitätsmanagement und seine praktische Anwendung bei Kundenkampagnen

Zusammenfassung  Die Verbesserung der Datenqualit?t (DQ) wird in Wissenschaft und Praxis intensiv diskutiert. Ob die ergriffenen DQ-Ma?nahmen jedoch ?konomisch überhaupt gerechtfertigt sind und wann und in welchem optimalen Umfang investiert werden soll, wird oftmals nicht analysiert. Zur Untersuchung dieser Fragestellungen entwickeln die Autoren ein Optimierungsmodell, mit dem die Umf?nge und Zeitpunkte für Investitionen in ein fortlaufendes DQ-Management ermittelt werden k?nnen. Hierdurch lassen sich vier Investitionsszenarien mit allgemeinen Handlungsempfehlungen identifizieren. So ist bspw. bei ehemalig intensiven Kundenbeziehungen, die sich inzwischen verschlechtert haben (nur wenige Gesch?ftstransaktionen), zwar über mehrere Perioden zu investieren, jedoch bei einem sich nicht ver?ndernden, geringen Transaktionsanteil, in abnehmender H?he. Daneben l?sst sich u. a. zeigen, dass der Umfang der existierenden Kundendatenmenge und nicht, wie oftmals angeführt, ein schlechtes existierendes DQ-Niveau ma?geblich für die Entscheidung ist, ob überhaupt in DQ investiert werden soll. Anhand einer Fallstudie wird abschlie?end nicht nur die praktische Anwendbarkeit des Optimierungsmodells verdeutlicht, sondern es soll zudem aufgezeigt werden, wie sich für einen konkreten Sachverhalt detaillierte Empfehlungen hinsichtlich des DQM-Einsatzes ermitteln lassen.

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A model based approach for continuous data quality management and its implementation to improve customer campaigns

Summary  The improvement of data quality (DQ) currently finds a great deal of attention in science as well as in practice. Nevertheless there are two fundamental questions that are often ignored in the analysis: i) Are the DQ measures already implemented economically reasonable? ii) When and to what extent is investing into the improvement of DQ justifiable? For an in-depth understanding considering the design of DQ management the authors develop an optimization model which determines the optimal amount and point of time for consecutive DQ investments. Hence they distinguish between four scenarios and propose corresponding action recommendations. For example, a customer relationship with declining intensity up to the present (i. e. diminishing volume of business transactions) requires DQ investments over several future business periods- and at a decreasing investment rate in cases where the transaction volume continues to go down. Additionally it can be shown that in general the amount of available client data is a crucial factor for the decision whether it is reasonable to invest into DQ at all as opposed to a low quality level — which is often claimed. A concluding case study determines the practical applicability of the proposed optimization model.

     

Unemployment and Business Cycles

We develop and estimate a general equilibrium search and matching model that accounts for key business cycle properties of macroeconomic aggregates, including labor market variables. In sharp contrast to leading New Keynesian models, we do not impose wage inertia. Instead we derive wage inertia from our specification of how firms and workers negotiate wages. Our model outperforms a variant of the standard New Keynesian Calvo sticky wage model. According to our estimated model, there is a critical interaction between the degree of price stickiness, monetary policy, and the duration of an increase in unemployment benefits.     

Extreme value index estimator using maximum likelihood and moment estimation

ABSTRACT

When a distribution function is in the max domain of attraction of an extreme value distribution, its tail can be well approximated by a generalized Pareto distribution. Based on this fact we use a moment estimation idea to propose an adapted maximum likelihood estimator for the extreme value index, which can be understood as a combination of the maximum likelihood estimation and moment estimation. Under certain regularity conditions, we derive the asymptotic normality of the new estimator and investigate its finite sample behavior by comparing with several classical or competitive estimators. A simulation study shows that the new estimator is competitive with other estimators in view of average bias, average MSE, and coefficient of variance of the new device for the optimal selection of the threshold.     

Deservingness put into practice: Constructing the (un)deservingness of migrants in four European countries

The increased comparative research on perceptions of public welfare deservingness studies the extent to which different subgroups of citizens are deemed worthy or unworthy of receiving help from the welfare state. The concept of deservingness criteria plays a crucial role in this research, as it theorizes a universal heuristic that citizens apply to rank people in terms of their welfare deservingness. Due to the mainly quantitative nature of the research and despite the indisputable progress it has made, the subjective existence and actual application of these deservingness criteria remain a bit of a black box. What criteria of deservingness do citizens actually apply, and how do they apply them? This article opens the black box of welfare deservingness and sheds light on the nature and practice of deservingness criteria. Empirically, the paper explores how the deservingness of immigrants is discussed and established within 20 focus groups conducted in Slovenia, Denmark, UK, and Norway in 2016 with a total of 160 participants. All 20 focus groups discussed the welfare deservingness of immigrants based on similar vignette stimuli. Our analysis shows that (1) deservingness criteria are used both to construct images of target groups and as normative yardsticks; (2) deservingness criteria do not work independently of each other, but rather co-function in specific hybridized discourses; and (3) the moral logic of deservingness is supplemented by alternative moral logics, at least in the case of migrants.     

How do study satisfaction and academic performance interrelate? An investigation with students of Social Work programs

An investigation of study satisfaction and academic performance in the study of Social Work is reported (N=514). The results show that satisfaction (a scale based on 13 items) and performance (undergraduate course marks) hardly correlate with each other (r=?0.05) and are influenced by different variables. Whereas study satisfaction is determined by ‘noncognitive’ factors such as motivation and course organization, academic performance is influenced by ‘cognitive' factors such as final school grade and students' learning behavior. Satisfied and/or successful students are more motivated to complete their course of study within the regular period and to work later as social workers. Vocational training or a university degree before studying Social Work does not affect satisfaction or performance. The findings are discussed in relation to optimal study management and selection criteria.     

Parameter Estimation for the Tail Distribution of a Random Sequence

The tail Y_t = X_t – u of a random sequence {X_t ∈ , t ∈ } with identically distributed X_t is approximated by the generalized Pareto distribution according to the extreme value theory, wherein Y_t occurs in clusters because of the dependence in the random sequence. Nevertheless, the parameters of the generalized Pareto distribution are estimated by the same methods as in the case of independent and identically distributed Y_t, provided that there is independence between the clusters of Y_t. The estimation variances and confidence intervals can be estimated by the jackknife method. The approaches are theoretically discussed and verified by extensive numerical researches.     

International Migration: Trends,Determinants, and Policy Effects

This paper synthesizes insights from new global data on the effectiveness of migration policies. It investigates the complex links between migration policies and migration trends to disentangle policy effects from structural migration determinants. The analysis challenges two central assumptions underpinning the popular idea that migration restrictions have failed to curb migration. First, post‐WWII global migration levels have not accelerated, but remained relatively stable while most shifts in migration patterns have been directional. Second, post‐WWII migration policies have generally liberalized despite political rhetoric suggesting the contrary. While migration policies are generally effective, “substitution effects” can limit their effectiveness, or even make them counterproductive, by geographically diverting migration, interrupting circulation, encouraging unauthorized migration, or prompting “now or never” migration surges. These effects expose fundamental policy dilemmas and highlight the importance of understanding the economic, social, and political trends that shape migration in sometimes counterintuitive, but powerful, ways that largely lie beyond the reach of migration policies.