Does school ownership matter? An unbiased efficiency comparison for regions of Spain

The programme for international student assessment (PISA) 2006 Report (OECD, PISA 2006: science competencies for tomorrow’s world, Organisation for Economic Co-operation and Development, Paris in 2007) showed significant differences among Spanish students attending publicly financed schools. Publicly financed schools include entirely public schools and schools that are privately managed but publicly funded. Families with a lower socioeconomic status may self-select into public schools, so a direct efficiency comparison between the two school types could lead to flawed conclusions because of the possible school selection bias. In this paper, we suggest using a propensity score matching approach in order to correctly analyze the impact of school ownership on student performance. After tackling the self-selection problem, we use a stochastic parametric distance function framework to compare student efficiency and productivity in both school types across ten Spanish regions using PISA 2006 data. Furthermore, we propose two original measures to analyze the impact of school ownership on academic performance across regions: the average treatment effect on the treated on the production frontier and the average treatment effect on the treated assuming school inefficiency. We find that, on average, private government-dependent schools are more productive than public schools, although efficiency results across regions are highly divergent.     

A two-stage double-bootstrap data envelopment analysis of efficiency differences of New Zealand secondary schools

We conduct a two-stage (DEA and regression) analysis of the efficiency of New Zealand secondary schools. Unlike previous applications of two-stage semi-parametric modelling of the school “production process”, we use Simar and Wilson’s double bootstrap procedure, which permits valid inference in the presence of unknown serial correlation in the efficiency scores. We are therefore able to draw robust conclusions about a system that has undergone extensive reforms with respect to ideas high on the educational agenda such as decentralised school management and parental choice. Most importantly, we find that school type affects school efficiency and so too does teacher quality.     

Using DEA for measuring teachers’ performance and the impact on students’ outcomes: evidence for Spain

This research contributes to the ongoing debate about differences in teachers’ performance. We introduce a new methodology that combines production frontier and impact evaluation insights that allows using DEA as an identification strategy of a treatment with high and low quality teachers within schools to assess their performance. We use a unique database of primary schools in Spain that, for every school, supplies information on two classrooms at 4th grade where students and teachers were randomly assigned into the two classrooms. We find considerable differences in teachers’ efficiency across schools with significant effects on students’ achievement. In line with previous findings, we find that neither teacher experience nor academic training explains teachers’ efficiency. Conversely, being a female teacher, having worked five or more years in the same school or having smaller class sizes positively affects the performance of teachers.     

Government secondary school finances in New South Wales: accounting for students’ prior achievements in a two-stage DEA at the school level

This study measures the efficiency of government secondary schools in New South Wales, Australia, using a two-stage semi-parametric production frontier approach to schooling. In contrast to previous research comparing school performance with two-stage data envelopment analysis (DEA), we control for prior academic achievement of students by using a rich data set from 2008 to 2010. We employ detailed financial data for deriving the envelope for the efficient production frontier of the schools. Using Simar and Wilson’s (J Econ 136:31-64, 2007, J Prod Anal 36:205-218, 2011a) double bootstrap procedure for two-stage DEA, the study finds that schools with lower total student numbers, a higher average of years of service of teachers, a higher ratio of special education students that attracts extra government funding, and girls only do better than other schools. On the other hand, a negative influence comes from a school’s location in provincial and outer metropolitan areas. An important result is that the socio-economic background of students attending a school has no significant effect on their academic performance, whereas higher prior academic achievements have a positive and statistically significant impact on student achievement. These results are relevant to decision makers for the school sector, in particular for funding criteria contained in the Gonski (Review of funding for schooling - Final report (December). Canberra: Commonwealth Government of Australia, 2011) review report.     

Aggregate Versus Disaggregate Data in Measuring School Quality

This article develops a measure of efficiency to use with aggregated data. Unlike the most commonly used efficiency measures, our estimator adjusts for the heteroskedasticity created by aggregation. Our estimator is compared to estimators currently used to measure school efficiency. Theoretical results are supported by a Monte Carlo experiment. Results show that for samples containing small schools (sample average may be about 100 students per school but sample includes several schools with about 30 or less students), the proposed aggregate data estimator performs better than the commonly used OLS and only slightly worse than the multilevel estimator. Thus, when school officials are unable to gather multilevel or disaggregate data, the aggregate data estimator proposed here should be used. When disaggregate data are available, standardizing the value-added estimator should be used when ranking schools.     

Efficiency in public schools: Does competition matter?

The focus of many recent school reforms has been on changing the incentives faced by school administrators, mainly through increased competition. In this study, we assess whether competition amongst public schools influences the efficiency in which these schools operate, using a two-stage estimation procedure and data from the state of Illinois from 1997–1998. We find some evidence that public school districts become more efficient as neighboring districts become more efficient. However, such spillovers only occur if districts operate within a financially flexible environment.     

On the Determinants of School District Efficiency: Competition and Monitoring

A number of researchers have asserted that inefficiency in the U.S. school system arises from a lack of incentives for public schools to behave efficiently. This paper uses a Shephard input distance function to model educational production, and a switching-regressions estimation to explore the relationship between school district efficiency and two existing incentive mechanisms—competition and voter monitoring. We find evidence that ease of monitoring enhances both technical and allocative efficiency of urban school districts, and that increased competition reduces allocative inefficiency in communities above a competitive threshold. We find no evidence that competition is related to technical inefficiency.     

Internal economics of rural elementary and secondary schooling

An economic model is developed to handle schooling efficiency problems. Estimated educational production functions and cost relationships which allow for factor substitution and control for quality are combined to find the most efficient method of producing a given output. Also, the minimum size of school district is related to student density and other characteristics of the geographic area. Thus, the study simultaneously determines the optimal organization of resources within a school district, as well as the optimal school district size.     

Competition and public high school performance

Increasing the level of school competition has been suggested as a way to improve school performance. This study examines one of the most extreme examples of such reform using data from New Zealand public high schools. In the 1990s school zoning was abolished in New Zealand and public schools competed for students, not just with private schools, but also with each other. A categorical Data Envelopment Analysis model using data on school resources and student academic performance, stratified using student socio-economic characteristics, is used to calculate efficiency scores for schools. A regression model is then used to analyse differences in these efficiency scores and their relationship to different levels of competition.     

A graphically based machine learning approach to predict secondary schools performance in Tunisia

The main purpose of this paper is to identify the key factors that impact schools' academic performance and to explore their relationships through a two-stage analysis based on a sample of Tunisian secondary schools. In the first stage, we use the Directional Distance Function approach (DDF) to deal with undesirable outputs. The DDF is estimated using Data Envelopment Analysis method (DEA). In the second stage we apply machine-learning approaches (regression trees and random forests) to identify and visualize variables that are associated with a high school performance. The data is extracted from the Program for International Student Assessment (PISA) 2012 survey. The first stage analysis shows that almost 22% of Tunisian schools are efficient and that they could improve their students’ educational performance by 15.6% while using the same level of resources. Regression trees findings indicate that the most important factors associated with higher performance are school size, competition, class size, parental pressure and proportion of girls. Only, school location appears with no impact on school efficiency. Random forests algorithm outcomes display that proportion of girls at school and school size have the most powerful impact on the predictive accuracy of our model and hence could more influence school efficiency. The findings disclose also the high non-linearity of the relationships between these key factors and school performance and reveal the importance of modeling their interactions in influencing efficiency scores.     

Mathematical analysis applied to school attendance areas

The objective of this paper is to develop a generalized mathematical model of pupil assignment within school districts. This model can then be used to examine various policies of student integration. Proposed bussing schemes, school location policies, educational parks, attendance boundaries, etc., can be tested for cost, travel time or other measures of efficiency. Extension to other areas of educational planning is feasible.

Mathematical programming techniques are used to assign resources (say school children) to facilities (say schools) subject to restrictions on facilities (say capacity limits) and resources (say a maximum travel time or a desirable range of school “mixtures”) so that a measure of performance, the “objective function” (say total cost or total time of travel) is optimized. The model is intended to allow examination of a wide range of objective functions and system constraints.     

Dynamic efficiency of primary education in Brazil: Socioeconomic and infrastructure influence on school performance

Brazilian educational indicators have shown virtually no improvement since 2000, according to national and international evaluations. However, there are large disparities among schools, even in the poorest regions. This work evaluates efficiency of primary education in Brazilian schools using a dynamic DEA model, taking into account school differences in the socioeconomic levels of its students. Dynamic modelling is made possible by the inclusion of an infrastructure index as a carry-over between periods. Results are based on three model specifications that differ on their treatment of the socioeconomic variable. Efficiency distributions of these models are not statistically equal, but the general conclusions are convergent. They show almost no evolution on school efficiency between 2007 and 2015, but indicate possible efficiency improvements by investments in school infrastructure.     

A finite‐sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond

Using data from both the National Longitudinal Survey of Youth (NLSY) and High School and Beyond (HSB), we investigate if public high schools differ in the “production” of earnings and if rates of return to future education vary with public high school attended. Given evidence of such variation, we seek to explain why schools differ by proposing that standard measures of school “quality” as well as proxies for community characteristics can explain the observed parameter variation across high schools. Since analysis of widely‐used data sets such as the NLSY and HSB necessarily involves observing only a few students per high school, we employ an exact finite sample estimation approach. We find evidence that schools differ and that most proxies for high school quality play modest roles in explaining the variation in outcomes across public high schools. We do find evidence that the education of the teachers in the high school as well as the average family income associated with students in the school play a small part in explaining variation at the school‐level. Copyright © 2002 John Wiley & Sons, Ltd.     

加强学校内控制度建设 提高学校管理水平

学校作为一个非营利性机构,仍然需要合理有效的管理措施。对学校加强内部控制制度的建设,可以规范学校的管理,提高管理效率和水平,保护学校财产安全,对教育事业有积极作用。本文就如何加强学校内控制度建设提出几个方面的建议,促进学校管理水平更上新台阶。     

Linear programming,busing and educational administration

Linear programming and other operations research techniques have been used to assist school administrators and planners in assigning students to schools to achieve racial balances. A linear programming approach to the school busing problem is analyzed in some detail. Six different linear programming models allow examination of the effects of changes in the parameters of the models upon assignment of students. Various ways in which school officials may use the solutions to the models and the postoptimality analysis of the models for educational planning are discussed.     

“登校拒否”凸现的危机及其启示——日本义务教育的危机

登校拒否现象主要指日本中小学中因讨厌学校或对学校感到恐惧而拒绝上学的现象,自92年开始调查统计以来,呈现逐年上升趋势。登校拒否不仅让学生本身受到极大的影响,其家庭也会因此陷入极大的危机之中。更重要的是,造成登校拒否的原因复杂,但社会环境变化以及竞争的下移无疑是该现象的主要成因之一,认真分析并吸取登校拒否的教训对于我国教育意义重大。     

THE QUALITY AND EFFICIENCY OF PRIVATE AND PUBLIC EDUCATION: A CASE-STUDY OF URBAN INDIA†

Recent evidence of a substantial link between quality of schooling and individual productivity suggests that, from an economic efficiency perspective, quality aspects of education deserve attention. This paper presents empirical evidence on the relative quality and efficiency of private and government-funded schools in urban India, using data from Uttar Pradesh. The results suggest that standardizing for home background and controlling for sample selectivity greatly reduces the raw average achievement advantage of private school students over public school students, but does not wipe it out. Private schools' standardized achievement advantage (or better quality) is complemented by their lower unit costs to enable them to be more efficient. The results support much of the existing international evidence on the relative efficiency of private and public schools.     

Performance evaluation of special education in China based on Data Envelopment Analysis

The existence of special schools aims to provide education opportunities and environment for physically and mentally disabled people. The provision of more exquisite and diversified services for parents, at ease, placing the children in the schools becomes an essential issue for current special schools. The special needs of students are more complicated that special schools have to overall study the service being more exquisite and diversified to correspond to the needs of students and parents. For this reason, the management of special schools takes the priority when discussing the function of special education institutions. Data Envelopment Analysis is applied to evaluate efficiency in this study. Shanghai, being the municipal city and the national central city of People’s Republic of China, presents the education quality at the head nationally. Special schools in Shanghai are therefore selected as the evaluated units in this study. The research results show strong efficiency of 1 DMU, revealing the good efficiency of special education execution, 4 DMUs with the efficiency between 0.9 and 1, revealing the efficiency being easily promoted, and 5 DMUs with the efficiency below 0.9, presenting obvious inefficiency. Moreover, the efficiency analysis with Malmquist shows the improvement of efficiency changes between two periods of special schools. Finally, suggestions are proposed according to the conclusion, expecting to assist in the development of special education in China.

     

Measuring efficiency in education: The influence of imprecision and variability in data on DEA estimates

Many studies devoted to efficiency performance evaluation in the education sector are based on measures of central tendency at school level as, for example, the average values of students belonging to the same school. Although this is a common and accepted way of summarizing data from the original observations (students), it is not less true that this approach neglects the existing dispersion of data, which may become a serious problem if variability across schools is high. Additionally, imprecision may arise when experts on each evaluated subject select the battery of questions, with different levels of difficulty, which will be the base for the final questionnaires completed by students. This paper uses data from US students and schools participating in PISA (Programme for International Student Assessment) 2015 to illustrate that schools' efficiency measures based on aggregate data and imprecision may reflect an inaccurate picture of their performance if they are compared to measures estimated accounting for broader information provided by all students of the same school. In order to operationalize our approach, we resort to Fuzzy Data Envelopment Analysis. This methodology allows us to deal with the notion of fuzziness in some variables such as the socio-economic status of students or test scores. Our results indicate that the estimated measures of performance obtained with the fuzzy DEA approach are highly correlated with those calculated with traditional DEA models. However, we find some relevant divergences in the identification of efficient units when we account for data dispersion and vagueness.     

转变中职学生数学学习方法之尝试

中职学生难教，中职数学更难教。这其中有家庭、学校的原因，也有社会的原因；有教师教学方法方面的问题，也有学生学习方法方面的问题。文章主要介绍笔者在转变中职学生数学学习方法方面的一些尝试。