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The purpose of this paper is to propose a non‐parametric methodology to construct composite scores of citizen satisfaction with local police services. More precisely, the paper advocates a custom made version of the popular Data Envelopment Analysis approach, also referred to as the “Benefit‐of‐the‐Doubt” model. The key advantage of this approach is that it weights the citizen satisfaction rates with the multiple local police functions and tasks into the composite score in an endogenous manner, thereby allowing for different values and interpretations of “good local policing” among police services. The methodology is illustrated with citizen satisfaction data on a sample of Belgian local police services.

The paper develops a multidimensional measure of local police effectiveness based on citizen satisfaction measures. It uses a non‐parametric evaluation methodology related to the popular DEA‐model. The paper looks for strengths and weaknesses in the performances of local police services both at the micro level (per local police service) and at the macro level (region).

With an average overall satisfaction score of 91.94 per cent, it seems safe to say that the majority of the citizens are generally satisfied with local police services. The BoD‐model identifies per local police service the basic functionalities that citizens rated relatively highly and poorly. Results show that urbanization per se does not drive the satisfaction scores of the participating local police services. Of much more importance are the regional disparities. Participating local police zones in Flanders receive higher satisfaction scores than those in the Walloon Region (the two big regions in Belgium). One of the findings is that the BoD‐model offers both conceptual and practical advantages in the evaluations of local police services. BoD grants each police service the benefit‐of‐the‐doubt in the effectiveness evaluations. The BoD‐model also identifies the factors of strength and weakness that explain the citizen satisfaction scores.

To the authors’ knowledge, this is the first time that multidimensional scores of citizen satisfaction are used in the effectiveness evaluations of local police services. The paper uses a methodology that accounts for the own particular circumstances of the local police services (by assigning in an endogenous manner weights in the evaluations).

The purpose of this paper is to analyse the determinants of the quality of the first job in Flanders (Belgium). The authors differentiate between circumstances on the one hand – individual characteristics beyond the control of the individuals such as gender or the unemployment rate at labour market entry – and efforts on the other hand – characteristics that are at least partly under the individuals’ control such as their educational attainment or labour motivation. The authors specifically take into account the fact that the former might influence the latter. A better understanding of the effects of these determinants can help to formulate (labour market) policy proposals (to ameliorate the school-to-work transition) that are responsibility-sensitive. The authors use the distance function to construct a one-dimensional measure of job quality – based on a list of job characteristics – and explain the variation in job quality in terms of circumstances and efforts. The empirical analysis is based on the 1978 birth cohort of the Flemish SONAR data. The results show that the quality of the first job is to a large extent depending on personal efforts and that circumstances have a considerable influence on the efforts. For this reason circumstances influence job quality twice. This is especially the case for gender and for the educational attainment of the individual’s mother. The labour market situation at labour market entry also plays a considerable role.

The authors use the distance function to construct a one-dimensional measure of job quality – based on a list of job characteristics – and explain the variation in job quality in terms of circumstances and efforts. The empirical analysis is based on the 1978 birth cohort of the Flemish SONAR data.

The results show that circumstances have a considerable influence on the efforts and for this reason circumstances influence job quality twice. This is especially the case for gender and for the educational attainment of the individual’s mother. The labour market situation at labour market entry also plays a considerable role.

The paper contributes to the literature in several ways. First, it analyses the quality of the first job individuals get after leaving school and uses an equality of opportunity framework. This approach differs from an approach based on search duration or job satisfaction. Second, job quality is evaluated in a multidimensional way using the distance function. Third, the relation between job quality and circumstances – issues for which the individual is not responsible – and efforts – issues for which the individual is at least partly responsible – is investigated. The authors specifically take into account the fact that circumstances might influence efforts and investigate the consequences for labour market policy.