Selection procedures for new recruits in research organizations, supposedly aiming at identifying the candidates with the highest potential, relies necessarily on indirect information concerning the quality of a researcher. It is safe to assume that this information is correlated to, but not...

A relevant question for the organization of large scale research assessments is whether bibliometric evaluation and informed peer review where reviewers know where the work was published, yield similar results. It would suggest, for instance, that less costly bibliometric evaluation might - at...

In this editorial statement we summarise some of the discussions we have had in the last months regarding the risks associated with the use of indicators for the measurement of research outputs, and how these risks should affect the management of the European Journal of Government and Economics....

With contributions from some of the leading thinkers in business school education, this book explores the impact and purpose of the business school, and addresses some of the most important questions facing management education today. The diverse perspectives brought together by the EFMD in this...

Purpose - Despite the general recommendation of using a combination of multiple criteria for research assessment and faculty promotion decisions, the raise of quantitative indicators is generating an emerging trend in Business Schools to use single journal impact factors (IFs) as key (unique)...

This paper analyzes house price data belonging to three hierarchical levels of spatial units. House selling prices with associated individual attributes (the elementary level-1) are grouped within municipalities (level-2), which form districts (level-3), which are themselves nested in counties...

Models with structured additive predictor provide a very broad and rich framework for complex regression modeling. They can deal simultaneously with nonlinear covariate effects and time trends, unit- or cluster specific heterogeneity, spatial heterogeneity and complex interactions between...

Applications of multiple imputation have long outgrown the traditional context of dealing with item nonresponse in cross-sectional datasets. Nowadays multiple imputation is also applied to impute missing values in hierarchical datasets, address confidentiality concerns, combine data from...

For most workers, access to suitable employment is severely restricted by the fact that they look for jobs in the regional labour market rather than the global one. In this paper we analyse how macro-level opportunities (regional labour market characteristics) and microlevel restrictions (the...

Meta-analytic methods have been widely applied to education, medicine, and the social sciences. Much of meta-analytic data are hierarchically structured since effect size estimates are nested within studies, and in turn studies can be nested within level-3 units such as laboratories or...