Sectoral labour market effects of the 2006 FIFA World Cup

Using the case of the 2006 FIFA World Cup, this study is the first to test the employment effects of a mega-sporting event on the basis of data that combines both regional and sectoral data. It is also the first study of sporting events to use a semi-parametric test method. Earlier studies on the World Cup could hardly identify any employment effects. In contrast, we find a small but significant positive employment effect on the hospitality sector.     

Comment on ‘Type I error and test power of different tests for testing interaction effects in factorial experiments’

We discuss the rank transform method and particularly the hypotheses being tested. Some counter examples show that the rank transformation method is invalid in factorial designs.     

Multiple foci of commitment in a professional service firm: balancing complex employment relations

Employees of professional service firms (PSFs) have attachments to multiple groups, which may be either compatible or conflicting: their employer, their clients and their profession. We analyse the antecedents of commitment to these three foci based on a survey of 510 employees in a large PSF in Norway. The main findings are as follows: (1) low quality of internal work relations is negatively associated with employer commitment and draws employees towards external foci of commitment – the clients and the profession; (2) role conflict is associated with stronger commitment to the client organisation and the profession; and (3) autonomy and transferability of skills are associated with stronger commitment to the profession, but does not undermine commitment to the employer. The article contributes to our understanding of the conditions under which employees identify with external groups and when commitment to the employer may be compromised. The findings have implications for how managers can help to increase the commitment of employees involved in complex employment relations.     

Cluster emergence: combining pre-existing conditions and triggering factors

This article argues that the emergence of regional clusters relies on both necessary pre-existing conditions for cluster appearance in general and triggering factors that cause clusters to emerge in particular places. This approach is used to analyse two ‘critical cases’; the emergence of the synthetic-knowledge boat building industry in the Arendal area in Norway from the mid-1950s and the analytical-knowledge cancer medicine industry in Oslo around the year 2000. Although the industries and the contexts are otherwise very different, the framework turns out to be useful in interpreting the emergence of the two clusters. However, the specific pre-existing conditions and the triggering factors differ between the two cases. The Arendal boat building industry emerged through the combination of traditional boat building skills and exogenous knowledge of the use of new plastic material, while the Oslo cancer medicine industry built on indigenously-developed scientific knowledge. The framework is useful in putting anecdotal evidence of cluster emergence due to the efforts of entrepreneurs into a wider analytical framework of the preconditions necessary for entrepreneurs to succeed.     

Ranking Economics Journals Using Data From a National Research Evaluation Exercise

This paper describes an algorithm for creating a ranking of economics journals, using data from the 2014 UK Research Excellence Framework (REF) exercise. The ranking generated by the algorithm can be viewed as a measure of the average quality of the papers published in the journal, as judged by the REF Economics and Econometrics sub‐panel, based on the outputs submitted to the REF.     

The structure of occupational inequality

Quality & Quantity - By examining the interrelationships among the requirements, resources, and rewards associated with occupational positions, we have attempted to construct a preliminary...     

Allowing disagreement in evaluations of social welfare

There is no consensus on how to measure interpersonally comparable, cardinal utility. Despite of this, people repeatedly make welfare evaluations in their everyday lives. However, people do not always agree on such evaluations, and this is one important reason for political disagreements. Thus, to keep in control of the normative premises, decision makers may prefer information which can be used as input to an arbitrary social welfare function to information which is the output from a social welfare function specified by the analyst. In this paper we try to identify and simplify sufficient welfare indicators; information which enables decision makers to arrive at welfare evaluations of social states or projects, according to their own ethical beliefs. Our conclusion is that providing factual information about different population groups, their social state, size, and characteristics, may be better for this purpose than the more traditional approach of focusing on ordinal utility information.     

Forecasting the demand for an employee Park and Ride service using commuters' stated choices

This paper uses Stated Choice (SC) data to forecast the demand for an employee Park and Ride service. Since it is well known that SC data contain sources of variation not present in Revealed Preference data we pay special attention to the scaling of the SC model. The results show that the modal shift away from parking-on site will be small unless the new service is accompanied by measures aimed at making parking on-site less attractive such as introducing parking charges.     

Education and electoral participation: reported versus actual voting behaviour

Using survey data of voters in Tanzania, this article shows that while education does not affect self-reported voting in general elections, it increases actual voting. The less educated are more likely to claim to have voted without having done so, which may explain why previous studies of voting in developing countries fail to find an effect of education. We demonstrate the importance of this finding by using our survey data to generate predicted voting probabilities for the respondents to the 2012 Afrobarometer survey in Tanzania and show that while mean self-reported voting does not differ much at different levels of education, the differences become significant when taking into account voting misrepresentation.