Der Beitrag diskutiert Kundenerfahrung als Bezugsrahmen, der die beiden Konstrukte Kundenerlebnis und Kundenvertrautheit umfasst. Kundenerfahrung wird konzeptionalisiert als Kundenerlebnis im Sinne eines Maßstabs für die Qualität der Kundenerfahrung (positiv/negativ). Die Einflussstärke der...

We specify an empirical model of US inflation which has the dynamics of wage and price setting at its core. In the dynamic wage equation an equilibrium-correction term connects the wage level to industrial prosperity indicators. In that way, the role of wage setting in the dynamics of the...

We aim to disentangle the relative contributions of (i) cognitive ability, and (ii) education on health and mortality using a structural equation model suggested by Conti et al. (2010). We extend their model by allowing for a duration dependent variable, and an ordinal educational variable. Data...

Ziel der Studie war es, den Stand der Digitalisierung in zwölf Industriebranchen in Deutschland zu untersuchen. In der Fragebogen-Erhebung unter 14.007 Beschäftigten zeigte sich, dass die Digitalisierung oft noch am Anfang steht und primär durch den Einsatz von IKT-Systemen geprägt ist....

Rating variables indicate the extent to which a quality is present, or absent, in a unit of observation. In this paper, we discuss a class of non-linear regression models for rating dependent variables and their estimation by parametric and semiparametric methods. An application to life...

We provide a methodology to disentangle the long-run relation between variables from their own dynamics. Macroeconomic and aggregate financial series have a high degree of inertia. If this persistence is not properly accounted for, spurious correlations will give rise to paradoxes. Our procedure...

This paper shows how the problem of mean-downside risk portfolio allocation can be cast in terms of penalized least squares (PLS). The penalty is given by a power function of the returns below a certain threshold. We derive the asymptotic properties of the PLS estimator, allowing for possible...

The issue of measurement invariance commonly arises in factor-analytic contexts, with methods for assessment including likelihood ratio tests, Lagrange multiplier tests, and Wald tests. These tests all require advance definition of the number of groups, group membership, and offending model...

Structural vector-autoregressive models are potentially very useful tools for guiding both macro- and microeconomic policy. In this paper, we present a recently developed method for exploiting non-Gaussianity in the data for estimating such models, with the aim of capturing the causal structure...