Capital-labor substitution and total factor productivity (TFP) estimates are essential features of growth and income distribution models. In the context of a Monte Carlo exercise embodying balanced and near balanced growth, we demonstrate that the estimation of the substitution elasticity can be...

In this paper we propose a methodology to estimate a dynamic factor model on data sets with an arbitrary pattern of missing data. We modify the Expectation Maximisation (EM) algorithm as proposed for a dynamic factor model by Watson and Engle (1983) to the case with general pattern of missing...

Background: Hospitals should monitor the costs of all direct and indirect processes in order to achieve efficiency and safeguard financial sustainability. One neglected process with significant costs is the processing of reusable medical devices and their packaging performed in the central...

We perform an extensive series of Monte Carlo experiments to compare the performance of two variants of the "Jackknife Instrumental Variables Estimator," or JIVE, with that of the more familiar 2SLS and LIML estimators. We find no evidence to suggest that JIVE should ever be used. It is always...

This paper surveys bootstrap and Monte Carlo methods for testing hypotheses in econometrics. Several different ways of computing bootstrap P values are discussed, including the double bootstrap and the fast double bootstrap. It is emphasized that there are many different procedures for...

Monte Carlo evidence has made it clear that asymptotic tests based on generalized method of moments (GMM) estimation have disappointing size. The problem is exacerbated when the moment conditions are serially correlated. Several block bootstrap techniques have been proposed to correct the...

Um Rückschlüsse über eine sinnvolle Integration einer Biogasanlage in das strategische Gesamtkonzept eines landwirtschaftlichen Betriebes ziehen zu können, werden Interdependenzen der Investitionsinputs mittels Sensitivitätsanalyse bewertet. Darauf aufbauend werden die Investitionserfolge...

Die vorliegende Arbeit befasst sich mit Innovationsdiffusionsmodellen und deren Anwendung in der Marketingpraxis. Sie hat zwei Ziele: Einen Überblick über existierende Innovationsmodelle zu schaffen und ein neues besseres Modell zu entwickeln. Es wird ein neuer Klassifizierungsansatz...

Kreditrisiken haben den größten Anteil am Gesamtrisiko einer Bank.Dennoch spielen Portfoliobetrachtungen bei der Evaluierung von Kreditrisikenbisher eine untergeordnete Rolle. Diese Arbeit untersucht das gemeinsame Ausfallverhalten von Krediten.Insbesondere wird diskutiert, wie...

Small area poverty estimates are important for social and economic policy, however the required data are often unavailable. This paper presents a Small Area Estimation (SAE) technique called Conditional Monte Carlo (CMC). CMC provides robust estimates of small area poverty rates, subject to...