ANALYSIS OF INFLUENCE SHARING IN JUDGMENTAL FORECASTING: REGRESSION MODELS AND PERCEPTUAL MEASURE

The committee or group approach is often used where considerable uncertainties have to be handled by skillful judgment. In this paper the authors investigate the subject of influence sharing in judgmental forecasting of commodity prices. They propose a conceptual framework for patterns of influence sharing in groups and for influence roles of individuals. A statistical analysis of the influence of group members on the group forecast leads to inferences about influence pattern and roles in a group.     

METRIC VS. NONMETRIC PROCEDURES FOR MULTIATTRIBUTE MODELING: SOME SIMULATION RESULTS *

Nonmetric procedures such a MONANOVA have been developed to estimate attribute utilities with ranked observations. It is argued that the goodness of the estimation procedure is another criterion which favors a metric procedure like Ordinary Least Squares (OLS) Regression. MONANOVA and OLS Regression are compared in their ability to recover attribute utilities with both ranked and scaled observations.     

Collective Wage Agreements and Firms’ Employment Policies

This paper provides evidence on the way collective wage agreements affect the adjustment of employment, working hours and other production factors when service‐sector firms are faced with demand shocks. The estimation results indicate that collective wage agreements significantly influence firms’ employment policies. It is shown that recruitment is a widespread instrument for service firms to cope with demand fluctuations which are negatively affected by collective wage agreements. The employment of freelance workers is also negatively affected by collective wage agreements, while their effect on using short‐term employment contracts as a reaction to demand shocks is positive.     

On estimands and the analysis of adverse events in the presence of varying follow‐up times within the benefit assessment of therapies

The analysis of adverse events (AEs) is a key component in the assessment of a drug's safety profile. Inappropriate analysis methods may result in misleading conclusions about a therapy's safety and consequently its benefit‐risk ratio. The statistical analysis of AEs is complicated by the fact that the follow‐up times can vary between the patients included in a clinical trial. This paper takes as its focus the analysis of AE data in the presence of varying follow‐up times within the benefit assessment of therapeutic interventions. Instead of approaching this issue directly and solely from an analysis point of view, we first discuss what should be estimated in the context of safety data, leading to the concept of estimands. Although the current discussion on estimands is mainly related to efficacy evaluation, the concept is applicable to safety endpoints as well. Within the framework of estimands, we present statistical methods for analysing AEs with the focus being on the time to the occurrence of the first AE of a specific type. We give recommendations which estimators should be used for the estimands described. Furthermore, we state practical implications of the analysis of AEs in clinical trials and give an overview of examples across different indications. We also provide a review of current practices of health technology assessment (HTA) agencies with respect to the evaluation of safety data. Finally, we describe problems with meta‐analyses of AE data and sketch possible solutions.     

Reasons for Wage Rigidity in Germany

Abstract. This study investigates institutional and economic reasons for downward wage rigidity regarding three occupational skill groups. Based on a survey of 801 firms in Germany and an econometric analysis, we find strong support for explanations based on the effects of labour union contracts and efficiency wages that differ between skill groups. Survey respondents indicate that labour union contracts and implicit contracts are important reasons for wage rigidity for the (less) skilled. Specific human capital and negative signals for new hires are causes of the stickiness of wages for the highly skilled. Compared with US evidence, German firms seem to attach more importance to labour union contracts and specific human capital.