Diskrete Copula Modelle bilden die Abhängigkeiten zwischen multiplen kategorialen Responses sowie die Einflüsse von Kovariablen auf die jeweiligen Responses ab. In einer Simulationsstudie soll das Verhalten von Schätzern diskreter Copula Modelle bei unterschiedlichen Strukturen der...

Non-spherical errors, namely heteroscedasticity, serial correlation and cross-sectional correlation are commonly present within panel data sets. These can cause significant problems for econometric analyses. The FGLS(Parks) estimator has been demonstrated to produce considerable efficiency gains...

Recently, a body of academic literature has focused on the area of stable distributions and their application potential for improving our understanding of the risk of hedge funds. At the same time, research has sprung up that applies standard Bayesian methods to hedge fund evaluation. Little or...

In der November-Ausgabe 2005 des WIRTSCHAFTSDIENST hat Walter A. S. Koch die Schätzungen von Dominik H. Enste und Friedrich Schneider zur Größe der Schattenwirtschaft kritisch bewertet. Dr. Enste und Prof. Schneider stellen hier noch einmal ihre Schätzmethoden dar. Im Anschluss daran eine...

We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...

Non-spherical errors, namely heteroscedasticity, serial correlation and cross-sectional correlation are commonly present within panel data sets. These can cause significant problems for econometric analyses. The FGLS(Parks) estimator has been demonstrated to produce considerable efficiency gains...

Propensity score matching provides an estimate of the effect of a 'treatment' variable on an outcome variable that is largely free of bias arising from an association between treatment status and observable variables. However, matching methods are not robust against 'hidden bias' arising from...

The polychoric correlation is an ML estimator for the correlation parameter between two latent variables. Each latent variable is only observed as an ordered categorical indicator. This estimator is based on an assumption on the joint distribution for the latent variables which in this case is...