Microaggregation by individual ranking is one of the most commonly applied disclosure control techniques for continuous microdata. The paper studies the effect of microaggregation by individual ranking on the least squares estimation of a multiple linear regression model in continuous variables....

A problem statistical offices are increasingly faced with is guaranteeing confidentiality when releasing microdata sets. One method to provide safe microdata is to reduce the information content of a data set by means of masking procedures. A widely discussed masking procedure is...

We propose a new procedure to perform Reduced Rank Regression (RRR) in non-Gaussian contexts, based on Multivariate Dispersion Models. Reduced-Rank Multivariate Dispersion Models (RR-MDM) generalise RRR to a very large class of distributions, which include continuous distributions like the...

Purpose – Under the Kyoto protocol, emissions trading was imposed upon the Nordic Nord Pool Spot market in 2005. The purpose of this paper is to identify and characterize an important side‐effect of emissions trading on electricity spot market price behavior by statistically comparing price...

Purpose – This article aims to examine the criterion‐related validity of two sets of commonly used measures of organizational justice. Design/methodology/approach – Regression‐based dominance analysis is used on self‐report data provided by 214 working college students. Findings –...

Given various significant benefits, not only countries but also regions within a country compete against each other in trying to attract foreign direct investments (FDI). While there are several studies explaining the factors behind a country's potential for foreign direct investment,...