Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to...

Multilevel models are widely used in education and social science research. However, the effects of omitting levels of the hierarchy on the variance decomposition and the clustering effects have not been well documented. This paper discusses how omitting one level in three-level models affects...

Despite its high relevance to current policy debates, estimating the causal effect of Information Communication Technology (ICT) investment on educational standards remains fraught with difficulties. In this paper, we exploit a change in the rules governing ICT funding across different school...

This paper is an econometric investigation of the choice of individuals between a number of occupation groupings utilising an extensive array of conditioning variables measuring a variety of aspects of individual heterogeneity. Whilst the model contains the main theory of occupational choice,...

Critics of international student comparisons argue that results may be influenced by differences in the extent to which countries adequately sample their entire student populations. In this research note, we show that larger exclusion and non-response rates are related to better country average...

We discuss fixed and random effects models in the context of educational research and set out the assumptions behind the two approaches. To illustrate the issues, we analyse the determinants of pupil achievement in primary school, using data from the Avon Longitudinal Study of Parents and...

In experimental designs with nested structures entire groups (such as schools) are often assigned to treatment conditions. Key aspects of the design in these cluster randomized experiments include knowledge of the intraclass correlation structure and the sample sizes necessary to achieve...

In this study we use a unique database covering 25 manufacturing and service sectors for 16 European countries over the period 1996-2005, for a total of 2,295 observations, and apply GMM-SYS panel estimations of a demand-for-labour equation augmented with technology. We find that R&D...

Paper addresses the recent initiatives of EU Lisbon Agenda to increase level of R&D expenses in EU Member States by studying firm-level panel data in most advanced transition economy, Slovenia. Previous empirical literature mainly cross-sectional has tested the demand-pull hypothesis and found...