7,767 research outputs found

    Dropout from secondary education: All's well that begins well

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    Despite the increased attention to students leaving secondary education without a diploma, numerous students dropout yearly. This paper makes a distinction between the 'individual perspective' and the 'institutional perspective' of dropping out. The individual perspective considers the probability of an individual student to drop out. It is explored by multinominal logit models, with and without accounting for unobserved heterogeneity. We observe that particularly motivation of the student and interest in schooling of his/her parents are crucial predictors of the individual dropout decision. The institutional perspective focusses on contextual factors and is examined by ordered logit models, both with and without accounting for unobserved heterogeneity. In particular, we discuss the influence of the first year of secondary education by analysing the large di¤erences in the number of dropouts in Dutch …rst year classes. We observe that, more than motivation, conditions in the …rst year of secondary education are crucial in shaping the dropping out decision.Dropout decision, Secondary education, Motivation, Logit, Unobserved heterogeneity

    COOPER-framework: A Unified Standard Process for Non-parametric Projects

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    Practitioners assess performance of entities in increasingly large and complicated datasets. If non-parametric models, such as Data Envelopment Analysis, were ever considered as simple push-button technologies, this is impossible when many variables are available or when data have to be compiled from several sources. This paper introduces by the ‘COOPER-framework’ a comprehensive model for carrying out non-parametric projects. The framework consists of six interrelated phases: Concepts and objectives, On structuring data, Operational models, Performance comparison model, Evaluation, and Result and deployment. Each of the phases describes some necessary steps a researcher should examine for a well defined and repeatable analysis. The COOPER-framework provides for the novice analyst guidance, structure and advice for a sound non-parametric analysis. The more experienced analyst benefits from a check list such that important issues are not forgotten. In addition, by the use of a standardized framework non-parametric assessments will be more reliable, more repeatable, more manageable, faster and less costly.DEA, non-parametric efficiency, unified standard process, COOPER-framework.

    Estimating and explaining efficiency in a multilevel setting: A robust two-stage approach

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    Various applications require multilevel settings (e.g., for estimating fixed and random effects). However, due to the curse of dimensionality, the literature on non-parametric efficiency analysis did not yet explore the estimation of performance drivers in highly multilevel settings. As such, it lacks models which are particularly designed for multilevel estimations. This paper suggests a semi-parametric two-stage framework in which, in a first stage, non-parametric a effciency estimators are determined. As such, we do not require any a priori information on the production possibility set. In a second stage, a semiparametric Generalized Additive Mixed Model (GAMM) examines the sign and significance of both discrete and continuous background characteristics. The proper working of the procedure is illustrated by simulated data. Finally, the model is applied on real life data. In particular, using the proposed robust two-stage approach, we examine a claim by the Dutch Ministry of Education in that three out of the twelve Dutch provinces would provide lower quality education. When properly controlled for abilities, background variables, peer group and ability track effects, we do not observe differences among the provinces in educational attainments.Productivity estimation; Multilevel setting; Generalized Additive Mixed Model; Education; Social segregation

    On estimating the effectiveness of resources. A local maximum likelihood frontier approach on care for students

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    To study education as a complex production process in a noisy and heterogeneous setting, this paper suggests to using a stochastic frontier model estimated by a local maximum likelihood approach (LMLSF). The LMLSF smoothly combines the virtues of the non-parametric Data Envelopment Analysis model and the semi-parametric Stochastic Frontier model. Additionally, by the LMLSF approach one can deduce the eectiveness of resources by examining the impact of inputs on the frontier. Indeed, while eciency estimations (i.e., doing the things right) received considerable attention in the literature, the analysis of effectiveness (i.e., doing the right things) is less explored. The approach is illustrated on a sample of Dutch primary education pupils. We examine the eectiveness of instruction time, experience of the teacher, and student care (both social worker and psychologist) on educational attainments of native and non-native students.Stochastic Frontier Analysis; Data Envelopment Analysis; Local Maximum Likelihood; Education; Student care

    Accounting for exogenous influences in a benevolent performance evaluation of teachers

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    Students’ evaluations of teacher performance (SETs) are increasingly used by universities and colleges for teaching improvement and decision making (e.g., promotion or tenure). However, SETs are highly controversial mainly due to two issues: (1) teachers value various aspects of excellent teaching differently, and, to be fair, (2) SETs should be determined solely by the teacher’s actual performance in the classroom, not by other influences (related to the teacher, the students or the course) which are not under his or her control. To account for these two issues, this paper constructs SETs using a specially tailored version of the popular non-parametric Data Envelopment Analysis (DEA) approach. In particular, in a so-called ‘Benefit of the doubt’ model we account for different values and interpretations that teachers attach to ‘good teaching’. Within this model, we reduce the impact of measurement errors and a-typical observations, and account explicitly for heterogeneous background characteristics arising from teacher, student and course characteristics. To show the potentiality of the method, we examine teacher performance for the Hogeschool Universiteit Brussel (located in Belgium). Our findings suggest that heterogeneous background characteristics play an important role in teacher performance.Teacher performance, Data envelopment analysis, Conditional efficiency, Education.

    How are Teachers Teaching? A Nonparametric Approach

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    This paper examines which conguration of teaching activities (expressed in, e.g., problem solving, homework, lecturing) maximizes student performance. To do so, it formulates a non- parametric eciency model that is rooted in the Data Envelopment Analysis literature. In the model, we account for (1) self selection of students and teachers in better schools, and (2) complementary teaching activities. The analysis distinguishes both individual teaching (i.e., a personal teaching style adapted to the individual needs of the student) and collective teaching (i.e., a similar style for all students in a class). Exploiting the data set, we compare the actual teaching style as revealed by the teacher in the data to the model estimations. As such, we anal- yse which students in the class the teacher is targeting with his/her teaching style. The main results show that high test scores are associated with teaching styles that emphasise problem solving and homework. In addition, teachers seem to adapt their optimal teaching style on the 70 percent least performing students.Data Envelopment Analysis, Teacher Quality, Student Performance, Nonparametric estimation, Revealed teaching style

    A Proposal Towards a Dutch Caribbean Marine Mammal Sanctuary

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    Based on the goals set forth in the Dutch Biodiversity Policy Programme, The Netherlands has a traditionally strong commitment to protect biodiversity and marine mammals both internationally and in its own national and Kingdom waters. Last year the responsible ministry, namely the Netherlands Ministry of Economic Affairs, Agriculture and Innovation (EL&I), developed a management plan for the biological resources of the recently declared Dutch Caribbean Exclusive Economic Zone. The Dutch Caribbean EEZ was formally declared on June 10, 2010, and amounts to more than 90.000 km2 of diverse tropical marine habitats. One of the key ambition coming forth from that plan was to develop a Dutch Caribbean Marine Mammal Sanctuary (MMS). This report provides the necessary review and background on which to base such an endeavour. Our updated review establishes beyond doubt that the Dutch Caribbean EEZ has a rich and diverse marine mammal fauna which merits more extensive protection. Even though the fauna is only poorly known, based almost exclusively on incidental sightings and strandings, it amounts to a minimum of 19 marine mammal species, and possibly up to more than 30. Without exception, all documented species appear on protected species lists of one or more treaties ratified by the Kingdom, and/or its constituent countries. Large differences are apparent between the leeward and windward sectors of the Dutch Caribbean EEZ, both in terms of species composition and conservation issues. Throughout the region, cetaceans are playing an increasingly important role in island economies as an important natural attraction for eco-based recreation and tourism, and in this respect the Dutch Caribbean also possesses major potential. We here propose the establishment of a MMS as the cornerstone to sustainable conservation and management of these charismatic animals. Ecological arguments for the establishment of habitat protection by means of the concept of sanctuaries are outlined, as are the many environmental issues that would eventually need to be addressed within the sanctuary. Legal designation of a marine mammal sanctuary (MMS) would form the first and most important step which provides the framework for all broader (international cooperation) and in depth (knowledge and conservation development) initiatives. Once established, the fuller implementation of a marine mammal sanctuary should be seen as a gradual process, involving development of knowledge, policy, rules and regulations, public and stakeholder participation. In this the Netherlands would follow and importantly reinforce the efforts of other nations who have already established MMS’s within the region. Favourable pre-conditions for the establishment of a MMS in the Dutch Caribbean include the fact that a) all cetaceans are already have a legal status in the Dutch Caribbean EEZ which calls for actual protection, b) the most deleterious fishing practices are already significantly limited and controlled within Kingdom waters, c) the key enforcer, namely the Coastguard, is already strongly present (largely due to other reasons), d) the islands generally have a strong tradition of marine protected areas in coastal habitat, e) the incremental costs for research and enforcement needed to establish a sanctuary is modest, f) public support is high, thanks to the generally high level of development and awareness of the public, g) indigenous fishery practices do not conflict with cetacean conservation, and h) whale watching interests are only in their infancy. We conclude our review by proposing the following key action points to establishing a MMS: a) Legal designation of the EEZ (one or both sectors) as MMS, along with establishment of legal guidelines for interacting with cetaceans (whale watching). b) Establish bonds of cooperation with sister sanctuaries in the region (France, USA, Dominican Republic), (e.g. regional stranding and sightings data network). c) Conduct baseline quantitative surveys of cetacean distribution and assessments in light of sources of deleterious sound sources and risks of vessel strikes. d) Review and adapt existing national and insular legal frameworks to improve these, preferably by developing separate and standardized marine mammals legislation. e) Develop information systems to promote the development of a whale (cetacean) watching industry. f) Train and equip marine parks and island veterinarians to conduct elementary autopsies and collect basic stranding specimens for analysis of causes of mortality, contamination levels and genetics, and link them to international academic institutions who will accept and analyse the specimens in regional context. g) Develop species action plans (e.g. humpback). h) Conduct cetacean surveys and management reviews every 5 years to assess marine mammal status and conservation progress

    Selective Migration in New Towns: Influence on Regional Accountability in Early School Leaving

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    In an attempt to stop the rampant suburbanization, which countries experienced after World War II, a 'new town' policy was enrolled. As a major objective, and related to its origins, new towns were effective in attracting low and medium income households. Nowadays, cities and municipalities experience an increased accountability in which incentives are provided by 'naming and shaming'. This paper focuses on an issue where both historical and local policy come together: early school leaving. Using an iterative matching analysis, it suggests how to account for differences in population and regional characteristics. In other words, how to compare and interpret early school leaving in new towns in a more `fair' way. The results point out that (statistically) mitigating historical differences is necessary, even though this does not necessarily means that 'naming' is replaced by 'shaming'.Urban Economics; New Town; Early School Leaving; Naming and Shaming; Iterative Matching, Urban Planning

    Domestic Violence: A Non-random Affair

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    In this paper, we develop and estimate a model of violence between romantically linked men and women. Physical violence is viewed as both a source of direct gratification and as an instrument for controlling the victim's behavior. Our model is a Stackleberg type model in which the assailant maximizes expected utility subject to the stochastic reaction function of the victim. Our model is estimated by a bounded-?influence regression technique because the process generating violence appears to lead to a heavy-tailed error distribution. Our empirical results suggest that increases in the assailants(i.e. the male's) income serve to increase violence, while increases in the proportion of the year that he is employed serve to decrease violence. Further, the employment effect is larger than the income effect. By way of contrast, our results suggest that the effect of a change in the female's employment or income depends heavily onher economic status relative to the male's. Finally, we find that improvements in the female's opportunites outside the relationship significantly reduce the level of violence.
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