We propose a new method to find spatially adaptive smoothing splines. This new method breaks down the interval [0, 1] into p disjoint sub-intervals. Then we define p functional components in [0, 1], which have two importantfeatures. First, the purpose of each of these p components is to estimate...

This dissertation is a collection of three essays that cover issues in poverty analysis. The first essay (Partial Identification of PovertyMeasures with Contaminated and Corrupted Data) applies a partial identification approach to poverty measurement when data errors arenon-classical in the...

This dissertation consists of three chapters relating to identification and inference in dynamic microeconometric models including dynamic discrete games with many players, dynamic games with discrete and continuous choices, and semiparametric binary choice and duration panel data...

We propose inference procedures for partially identified population features for which the population identification region can be written as a transformation of the Aumann expectation of a properly defined set valued random variable (SVRV). An SVRV is a mapping that associates a set (rather...

A time series analysis was performed on medical scheme statistics with the aim of determining current and future demographic and economic trends. This would enable one to reach a better perspective on the current and future financial dilemma presently experienced by medical schemes. Data for the...

Der Beitrag analysiert den Einfluss der Kundenzufriedenheit auf den ökonomischen Erfolg im Naturkostfachhandel. Auf Basis einer Befragung von 885 Kunden und der Analyse der Betriebskennzahlen von 11 Naturkostfachgeschäften zeigt sich, dass die Kundenzufriedenheit ein relevanter Erfolgsfaktor...

Die Dissertationsarbeit hat zum Ziel, die Gültigkeit der Aussagen eines außenhandelstheoretischen Ansatzes der Neo-Heckscher-Ohlin-Modellklasse in der realen Welt zu überprüfen. Der gewählte Modellierungstyp erlaubt die Koexistenz internationalen intra- und inter-industriellen Handels. Da...

This paper investigates the effects of ordinal regressors in linear regression models. Each ordered categorical variable is interpreted as a rough measurement of an underlying continuous variable as it is often done in microeconometrics for the dependent variable. It is shown that using ordinal...

Die Arbeit beschreibt die Methodiken des Data Mining. Im Fokus steht hierbei die Modellierung der Verfahren KNN, Entscheidungsbaum und Regression. Bei der Durchführung von Fallstudien wird u.a. auf das Pre-Processing eingegangen.