Quality adjusted measures of services in public schools

Heshmati, Almas

doi:10.1016/s0377-2217(00)00331-3

Cited by 8 publications

(7 citation statements)

References 13 publications

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“…They analyse the average annual percent change in nominal output, real output, employment, output per worker and output per hours of work. Crepon, Duguet and Mairesse (1998) and Lo¨o¨f and Heshmati (2002a;2002b) use value added per employee as the measure of output or services produced. Investment in research and development is an additional input that generates innovation input, which in turn through innovation output affects productivity growth.…”

Section: Servicesmentioning

confidence: 99%

“…A number of quality indicators, student, family and municipality characteristics such as student and teacher density, spaces, share of trained teachers, teachers' absence hours, income and education of parents, among others, are included to explain efficiency differentials across municipalities in the provision of their school services. Heshmati (2002b), using Swedish primary and secondary school data at municipality level during the period 1992=93 -1994=95, estimates a cost function. He compares the use of output measured as the number of student enrolments, adjusted for quality differences using different parametric and non-parametric approaches.…”

Section: Servicesmentioning

confidence: 99%

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Productivity Growth, Efficiency and Outsourcing in Manufacturing and Service Industries

Heshmati

2003

Journal of Economic Surveys

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178

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This paper is a survey of recent contributions to, and developments of, the relationship between outsourcing, efficiency and productivity growth in manufacturing and services. The objective is to provide a thorough and up-todate survey that provides a significant discussion on data, as well as on the core methods of measuring efficiency and productivity. First, the readers are introduced to the measurement of partial and total factor productivity growth. Different parametric and non-parametric approaches to the productivity measurement in the context of static, dynamic and firm-specific modelling are discussed. Second, we survey the econometric approach to efficiency analysis. The issues of modelling, distributional assumptions and estimation methods are discussed assuming that cross-sectional or panel data are available. Third, the relationship between outsourcing and productivity growth in manufacturing and services is discussed. The correspondence between a number of hypotheses and empirical findings are examined. Examples of varieties of relevant empirical applications, their findings and implications are presented. Fourth, measurement of inputs and outputs in manufacturing and services are discussed. Finally, to promote useful research, a number of factors important to the analysis of outsourcing, efficiency and productivity growth in the service sector are summarised.

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Section: Servicesmentioning

confidence: 99%

Section: Servicesmentioning

confidence: 99%

Productivity Growth, Efficiency and Outsourcing in Manufacturing and Service Industries

Heshmati

2003

Journal of Economic Surveys

Self Cite

178

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“…Heshmati (2002) uses both a hedonic price and index number approach to including quality characteristics in the estimation of production and cost functions for the data set we use here. In contrast to the approach taken in this paper, Heshmati used quality characteristics to arrive at a quality-adjusted measure of output.…”

Section: Introductionmentioning

confidence: 99%

Measurement of productivity and quality in non‐marketable services

Färe

Grosskopf

Førsund

et al. 2006

Quality Assurance in Education

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -This paper seeks to model and compute productivity, including a measure of quality, of a service which does not have marketable outputs -namely public education at the micro level. This application is a case study for Sweden public schools. Design/methodology/approach -A Malmquist productivity index is employed which allows for multiple outputs or outcomes such as test results and promotions without requiring price data with which to aggregate these outputs. It also allows one to account for inputs such as teachers and facilities as well as proxies for quality of the inputs (e.g. experience of teachers) and outputs. This model generalizes the basic data envelopment analysis (DEA) models -used successfully to measure performance in many educational applications -to the intertemporal case. A way of computing quality and quantity components of overall productivity is employed. Findings -The case study is an application to the Swedish primary and secondary school system over the 1992 to 1995 period. It was found that quality "matters", i.e. productivity growth changes when one accounts for quantity.Research limitations/implications -The data available implied that the specification is restricted to an intermediate production model, i.e. the output data only account for the intermediate outcomes of education like grades and promotions, but not the longer term outcomes related to success in the job market or higher education, which one proposed as a task for future research. Originality/value -The indices which are computed at the micro level are of value for policy purposes (does investment in quality matter?) and in an evaluation context.

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“…There is an extensive literature about DEA and similar techniques which evaluate school efficiency (e.g. Grosskopf et al, 1999;Bifulco and Bretschneider, 2001;Grosskopf and Moutray, 2001;Portela and Thanassoulis, 2001;Heshmati, 2002;Thanassoulis et al, 2002;Banker et al, 2004;Fӓre et al, 2006;Primont and Domazlicky, 2006;Essid et al, 2010;Haelermans and Ruggiero, 2013;Essid et al, 2014). Bifulco and Bretschneider (2001) pointed out that education is a complex structure and simple form of DEA is inadequate for its efficiency evaluation.…”

Section: Efficiency In Secondary Educationmentioning

confidence: 99%

“…evaluated the efficiency using a cost distance function and they took into account teaching, administrative and aiding staff costs Grosskopf et al (2001). andHaelermans and Ruggiero (2013) also used personnel costs and salaries in their study Heshmati (2002). applied a cost function in public schools and Banker et al (2004) employed three expenditure measures.…”

mentioning

confidence: 99%

Construction of two-stage DEA models and economic applications

Kourtzidis¹,

Κουρτζίδης²

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This thesis focuses on the modeling of non-parametric production functions in two stages without assuming any specific functional form. Data Envelopment Analysis (DEA) is an approach based on linear programming and is used to assess the relative efficiency among a set of Decision Making Units (DMUs) while offering a number of advantages. However, conventional DEA models make no assumption regarding the procedures taking place inside the DMU. On the contrary, DEA treats a DMU as a “black box” which uses inputs to produce outputs without considering the internal procedures, a usually sufficient assumption. However in some cases, such as supply chain systems, DEA models consist of two or more stages and these internal procedures may be important for evaluating the efficiency. The stages are connected with intermediate variables which are considered as outputs in one stage and inputs in another stage. Network DEA models are used to accommodate such cases. This thesis classifies network DEA models into four categories which are independent, connected, relational and game theoretic models. Inside this framework this thesis constructs two-stage DEA models and use them create novel indices which evaluate the efficiency in various economic applications. Specifically, the most significant research contribution of this thesis is the incorporation of a priori information such as expert opinions and value judgements into the modeling process. This objective is achieved with the construction of the Weight Assurance Region (WAR) model which modifies the original additive model in order to incorporate a priori information using assurance region-based weights in the two-stages. Furthermore, WAR model solves the infeasibility problem of the original model. Another research contribution is the mathematical framework for the extension of the original additive model into a time-dependent window-based approach. This approach allows the handling of panel data in a two-stage network DEA framework and provides robust efficiency measures. A third research contribution is the incorporation of metafrontier framework into two-stage DEA analysis in order to treat the heterogeneity of DMUs in different groups (such as firms in different groups or regions in different countries) which experience different technologies. DMUs from different groups face different production opportunities; therefore feasible input-output combination in one group may not be feasible in another. These differences among groups may refer to physical, human and financial capital, infrastructures, economic environment, available resources etc; as a result every group has a different frontier. Therefore, the metafrontier is an overall frontier which envelopes the groups' specific frontiers so that no point of these frontiers can lie above points on the metafrontier. Finally, four economic applications are presented where the production processes are examined and novel indices are constructed using two-stage DEA formulations. The economic applications are in educational, banking and environmental sectors.

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Quality adjusted measures of services in public schools

Cited by 8 publications

References 13 publications

Productivity Growth, Efficiency and Outsourcing in Manufacturing and Service Industries

Productivity Growth, Efficiency and Outsourcing in Manufacturing and Service Industries

Measurement of productivity and quality in non‐marketable services

Construction of two-stage DEA models and economic applications

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