After years of stagnancy, PLS path modeling has recently attracted renewed interest from applied researchers in marketing. At the same time, the availability of software alternatives to Lohmöllers LVPLS package has considerably increased (PLS-Graph, PLS-GUI, SPAD-PLS, SmartPLS). To help the...

Many researchers seem to be unsure about how to specify formative measurement models in software programs like LISREL or AMOS and to establish identification of the corresponding structural equation model. In order to make identification easier, a new, mainly graphicallyoriented approach is...

Dieser Beitrag setzt sich mit der Leistungsfähigkeit von Strukturgleichungsmodellen bei derValiditätsprüfung von Messmodellen für hypothetische Konstrukte auseinander und geht aufausgewählte Problembereiche bei der gängigen Anwendung dieser Methodik für dieSkalenkonstruktion ein....

Microfoundations of the euro´s effect on euro area trade hinge on the timing, thespeed and the size of adjustment in trade costs. We estimate timing, speed and sizeof adjustment in trade costs for sectoral trade data. Our approach allows for sectorspecific impacts of trade costs on sectoral...

East German wages have been below the West German wage level since unification. Moreover, the East-West wage gap implied by the contractual wagesspecified in collective wage agreements is drifting ever further apart from the wagegap in terms of effective wages. This paper looks at the role of...

Comparing groups with respect to hypothetical constructs requires that the measurement models are equal across groups. Otherwise conclusions drawn from the observed indicators regarding differences at the latent level (mean differences, differences in the structural relations) might be severly...

Independent component analysis (ICA) is a modern factor analysis tool developed in the last two decades. Given p-dimensional data, we search for that linear combination of data which creates (almost) independent components. Here copulae are used to model the p-dimensional data and then...

This paper offers a new method for estimation and forecasting of the linear and nonlinear time series when the stationarity assumption is violated. Our general local parametric approach particularly applies to general varying-coefficient parametric models, such as AR or GARCH, whose coefficients...

Eine große Herausforderung der multivariablen Analyse mit bilanziellen Kennzahlen besteht in der Identifikation derjenigen Kennzahlen, die zur besten Modellperformance führen und dabei möglichst leicht interpretierbar und intuitiv bleiben. Die Menge der in Frage kommenden Kennzahlen ist in...

Let W denote a family of probability distributions with parameter space t, and WG be a subfamily of W depending on a mapping G : O -- t. Extremum estimations of the parameter vector v e O are considered. Some sufficient conditions are presented to ensure the uniqueness with probability one. As...