Carla Haelermans

The role of innovations in secondary school performance - Evidence from a conditional efficiency model

This paper studies the influence of educational innovations on school performance. We apply a tailored, fully nonparametric conditional efficiency model to study secondary school efficiency in the Netherlands. The application uses official school data and a self-collected questionnaire on recent innovations in schools. In the nonparametric model, it is assumed that schools aim to maximize educational attainments of students under a budget constraint. The results suggest that innovations are positively related to efficiency. We find that profiling, pedagogic, process and education chain innovations are significantly related to school efficiency, whereas innovations in the professionalization of teachers are insignificantly related to school efficiency. Furthermore, the number of locations per school and the number of schools per governing body are negatively and significantly related to school efficiency. School type and region significantly influence school efficiency, whereas share of disadvantaged students, degree of urbanization and student/teacher ratio do not have significant influence.

Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools

Public sector output provision is influenced not only by discretionary inputs but also by exogenous environmental factors. In this paper, we extended the literature by developing a conditional DEA estimator of allocative efficiency that allows a decomposition of overall cost efficiency into allocative and technical components while simultaneously controlling for the environment. We apply the model to analyze technical and allocative efficiency of Dutch secondary schools. The results reveal that allocative efficiency represents a significant 37 percent of overall cost efficiency on average, although technical inefficiency is still the dominant part. Furthermore, the results show that the impact of environment largely differs between schools and that having a more unfavorable environment is very expensive to schools. These results highlight the importance of including environmental variables in both technical and allocative efficiency analysis.

Nonparametric estimation of education productivity incorporating nondiscretionary inputs with an application to Dutch schools

In this paper we develop a Malmquist productivity index for public sector production characterized by the influence of environmental variables. We extend Johnson and Ruggiero (2011) to the more general case of variable returns to scale to further decompose the Malmquist productivity index into technical, efficiency, scale and environmental change. We apply our model to analyze productivity of Dutch schools using 2002–2007 data. The results indicate that the environment influences the productivity index as well as the technical, efficiency, scale and environmental change components. We see that schools with a moderate classification of environment have the highest productivity numbers. In line with expectations, schools with the worst environment also perform worse and would perform better with an improved environment.

Wage Effects of On‐The‐Job Training: A Meta‐Analysis

A meta-analysis is used to study the average wage effects of on-the-job training. This study shows that the average reported wage effect of on-the-job training, corrected for publication bias, is 2.6 per cent per course. The analyses reveal a substantial heterogeneity between training courses, while wage effects reported in studies based on instrumental variables and panel estimators are substantially lower than estimates based on techniques that do not correct for selectivity issues. Appropriate methodology and the quality of the data turn out to be crucial to determine the wage returns.

Is a schools' performance related to technical change? - A study on the relationship between innovations and secondary school productivity

This paper examines the relation between innovations and productivity in Dutch secondary schools. Innovation clusters are directly included in the production model. In order to correct for differences between schools, we add school type, region and year controls. The results indicate that process innovations, teacher professionalization innovations and education chain innovations are positively related to productivity, whereas new courses innovations and pedagogic innovations are negatively related to productivity. The results also show that innovations are directly related to productivity, but also through student performance. The positive results of teacher professionalization, education chain and process innovations are similar to what is found elsewhere in the literature.

Does residential mobility improve educational outcomes? Evidence from the Netherlands

This paper explores the impact of residential mobility on educational outcomes. By considering a large Dutch city with substantial internal residential mobility, we examine how residential mobility influences the decision of students to drop out of school. The paper exploits a rich administrative dataset with extensive information on educational, individual, family, housing and moving characteristics of students. It combines a matching design with a multivariate regression analysis, such that the evaluation draws on a well-comparable control group for the treated students. Accounting for individual, family, educational, neighborhood and housing characteristics, as well as for school and year fixed effects, we observe that residential mobility increases the probability of school dropout in the first few years after moving. The estimated effect changes, however, to a lower risk of early school leaving after an initial period, and then changes again to a higher risk after 6years. This effect remains, regardless the level of education the students attended, or whether the student moves to a better or a worse neighborhood.

Innovative power of Dutch secondary education

Abstract This paper analyzes the diffusion and determinants of innovations in secondary education. First, the diffusion path of five clusters of innovations in secondary schools is described. Second, the determinants of the adoption of these innovations are analyzed. The findings show that size is one of the main determinants of share of innovations in a school. Other determinants are competition, school type, and teaching method. These should be factored in innovation in public sector education. This paper explains why.

Non-parametric estimation of the cost of adequacy in education: the case of Dutch schools

Adequacy is defined in education as a minimum set of outcome standards. Schools that are unable to achieve these goals are not providing an adequate education. This failure could arise from insufficient spending on productive resources and/or inefficient use of existing resources. The purpose of this paper is to build on previous research to provide estimates of the cost of adequacy. We introduce a non-parametric measure of the cost of adequacy that controls for the socio-economic environment and resource prices. For illustrative purposes, we apply this model to analyse Dutch schools. Our results show that the costs of achieving the minimum standard of performance are very different for schools with different levels of environmental harshness. Furthermore, the additional costs of achieving a higher standard are much higher for schools with a harsh environment than for schools with a favourable environment.

The effect of individualized digital practice at home on math skills Evidence from a two-stage experiment on whether and why it works

Abstract This paper analyses an experiment on the effect of an individualized, digital practice tool on numeracy skills for 337 seventh grade students. The first stage of the experiment shows that offering students the opportunity to practice numeracy digitally at home (intent-to-treat) leads to a substantial and significant increase in numeracy performance growth. The second stage reveals that the effectiveness of the tool mainly stems from its individualized nature. With good implementation prospects and relatively low costs, the consequences are discussed to be potentially large.

Smart in Mathematics? Exploring the Effects of In-Class-Level Differentiation Using SMARTboard on Math Proficiency.

This paper explores the effects of in-class level differentiation by making innovative use of an interactive whiteboard (SMARTboard) on math proficiency. Therefore, we evaluate the use of SMARTboard in class, in combination with teacher training, using a randomized field experiment among 199 pre-vocational students in 7th-grade in the Netherlands. During six weeks, students in the intervention group participated in math classes in which the SMARTboard was used to apply level differentiation. The teachers of these classes received a specific training (Technological Pedagogical and Content Knowledge” (TPACK)) in using the SMARTboard in class. Control classes were taught by teachers without the training, who did not use the SMARTboard in class. The results show that level differentiation in class, which was possible because of the efficient use of the SMARTboard, significantly increases math proficiency with 0.25 points.