Small-sample properties of ML, COLS, and DEA estimators of frontier models in the presence of heteroscedasticity

Article Abstract:

The small sample properties of maximum likelihood (ML), corrected ordinary least squares (COLS), and data envelopment analysis (DEA) estimators of the parameters in frontier models in the presence of heteroscedasticity in the two-sided, or measurement, error term is investigated. Results from the Monte Carlo experiment reveal that COLS estimators retain some of OLS's immunity to heteroscedasticity, especially if the measurement error is large in relation to the inefficiency.

Usage, Monte Carlo method, Monte Carlo methods, Maximum likelihood estimates (Statistics), Heteroscedasticity, Maximum likelihood (Statistics)

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Decomposing school and school-type efficiency

Article Abstract:

Research is presented concerning the investigation of the under-attainment of a pupil at school through the utilization of data envelopment analysis. The influence of funding, pupil and school on under-attainment is discussed.

Elementary and secondary schools, Elementary & Secondary Schools, Schools, Education, Academic achievement, Decomposition (Mathematics)

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An application of DEA for comparative analysis and ranking of regions in Serbia with regards to social-economic development

Article Abstract:

Research is presented concerning the evaluation of the efficiency of use of resources by different regions of Serbia through a data envelopment analysis technique. Seventeen out of 30 regions were found to be efficient.

Social structure, Serbia

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