University of Mannheim

About: University of Mannheim is a education organization based out in Mannheim, Germany. It is known for research contribution in the topics: Population & European union. The organization has 4448 authors who have published 12918 publications receiving 446557 citations. The organization is also known as: Uni Mannheim & UMA.

Bootstrap Inference in Semiparametric Generalized Additive Models

Abstract: Semiparametric generalized additive models are a powerful tool in quantitative econometrics. With response Y, covariates X,T, the considered model is E(Y |X;T) = G{XTβ + α + m1(T1) + ··· + md(Td)}. Here, G is a known link, α and β are unknown parameters, and m1,…,md are unknown (smooth) functions of possibly higher dimensional covariates T1,…,Td. Estimates of m1,…,md, α, and β are presented, and asymptotic distributions are given for both the nonparametric and the parametric part. The main focus of the paper is application of bootstrap methods. It is shown how bootstrap can be used for bias correction, hypothesis testing (e.g., component-wise analysis), and the construction of uniform confidence bands. Further, bootstrap tests for model specification and parametrization are given, in particular for testing additivity and link function specification. The practical performance of the methods is illustrated in a simulation study.This research was supported by the Deutsche Forschungsgemeinschaft, Sonderforschungsbereich 373 “Quantifikation und Simulation okonomischer Prozesse,” Humboldt-Universitat zu Berlin, DFG project MA 1026/6-2, the Spanish “Direccion General de Ensenanza Superior,” no. BEC2001-1270, and the grant “Nonparametric methods in finance and insurance” from the Danish Social Science Research Council. We thank Marlene Muller, Oliver Linton, and two anonymous referees for helpful discussion.

Families in Macroeconomics

Abstract: Much of macroeconomics is concerned with the allocation of physical capital, human capital, and labor over time and across people. The decisions on savings, education, and labor supply that generate these variables are made within families. Yet the family (and decision-making in families) is typically ignored in macroeconomic models. In this chapter, we argue that family economics should be an integral part of macroeconomics, and that accounting for the family leads to new answers to classic macro questions. Our discussion is organized around three themes. We start by focusing on short and medium run fluctuations, and argue that changes in family structure in recent decades have important repercussions for the determination of aggregate labor supply and savings. Next, we turn to economic growth, and describe how accounting for families is central for understanding differences between rich and poor countries and for the determinants of long-run development. We conclude with an analysis of the role of the family as a driver of political and institutional change.

CODI: combinatorial optimization for data integration - results for OAEI 2011

Abstract: In this paper, we describe our probabilistic-logical alignment system CODI (Combinatorial Optimization for Data Integration). The system provides a declarative framework for the alignment of individuals, concepts, and properties of two heterogeneous ontologies. CODI leverages both logical schema information and lexical similarity measures with a well-defined semantics for A-Box and T-Box matching. The alignments are computed by solving corresponding combinatorial optimization problems.

Drivers of Brand Extension Success: What Really Matters for Luxury Brands

Abstract: The use of brand extensions has become fundamental to the business model of most luxury brands. Many traditional luxury brands such as Louis Vuitton or Chanel have expanded into traditional luxury sectors beyond their core business. Some brands such as Armani or Prada even crossed boundaries to nontraditional lifestyle segments to pursue new business opportunities. Given the high practical relevance of brand extensions for luxury brands and the importance to understand the success factors for their extendibility and potential backward effects on the parent brand, surprisingly little research has addressed these issues for luxury brands in comparison to nonluxury brands. The current research reveals extension-related differences between luxury and nonluxury brands by simultaneously analyzing key dimensions of parent brand value, fit, and extension category involvement on the consumer’s attitude toward the brand extension, which in turn influences the postextension image of the parent brand. Results of a structural equation model based on a survey among 492 participants show that the predominant driver of brand extension success for both luxury and nonluxury brands is overall extension fit, followed by the consumer’s involvement in the extension category. The influence of functional value of the parent brand on the extension evaluation is more important for nonluxury brands. The hedonic value of the parent brand is found to be of relevance only in case of luxury brands. Moreover, a reciprocal spillover effect between the extension evaluation and the parent brand evaluation is observed. The degree of luxuriousness of the parent brand moderates this relationship. This effect is weaker for luxury brands. C � 2013 Wiley