scholarly journals Measuring Efficiency from Casemix Funding in Victoria Using the Stochastic Frontier

2007 ◽  
Author(s):  
Maria Mangano
Keyword(s):  
Stochastic Frontier ◽  
Casemix Funding ◽  
Measuring Efficiency

scholarly journals Measuring efficiency of secondary healthcare providers in Slovenia

Open Medicine ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. 214-225 ◽  
Author(s):  
Patricia Blatnik ◽  
Štefan Bojnec ◽  
Matej Tušak
Keyword(s):  
General Hospital ◽  
Stochastic Frontier ◽  
Healthcare Providers ◽  
Data Envelopment ◽  
Linear Programming Method ◽  
General Hospitals ◽  
Econometric Methods ◽  
Business Operations ◽  
Measuring Efficiency ◽  
Efficient Hospital

AbstractThe chief aim of this study was to analyze secondary healthcare providers' efficiency, focusing on the efficiency analysis of Slovene general hospitals. We intended to present a complete picture of technical, allocative, and cost or economic efficiency of general hospitals.MethodsWe researched the aspects of efficiency with two econometric methods. First, we calculated the necessary quotients of efficiency with the stochastic frontier analyze (SFA), which are realized by econometric evaluation of stochastic frontier functions; then, with the data envelopment analyze (DEA), we calculated the necessary quotients that are based on the linear programming method.ResultsResults on measures of efficiency showed that the two chosen methods produced two different conclusions. The SFA method concluded Celje General Hospital is the most efficient general hospital, whereas the DEA method concluded Brežice General Hospital was the hospital to be declared as the most efficient hospital.ConclusionOur results are a useful tool that can aid managers, payers, and designers of healthcare policy to better understand how general hospitals operate. The participants can accordingly decide with less difficulty on any further business operations of general hospitals, having the best practices of general hospitals at their disposal.

Measuring Efficiency of Islamic and Conventional Banks in MENA Region

2016 ◽  
Vol 5 (1) ◽  
pp. 29-51
Author(s):  
Asma Sghaier ◽  
Mahmoud Sabra ◽  
Zouhayer Mighr ◽  
Philippe Gilles
Keyword(s):  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Banking System ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Mena Region ◽  
Technical Inefficiency ◽  
Frontier Analysis ◽  
Measuring Efficiency ◽  
Conventional Banks

This study aims to measure the performance and efficiency of Islamic and conventional banks in the MENA region and its determinants. The authors use for this purpose the Data Envelopment Analysis (DEA) method and the analysis of the Stochastic Frontier Analysis (SFA) method for calculating the technical efficiency scores. The results reveal similar trends for both types of performance measurement. The banks category analysis revealed that conventional banks are more efficient than Islamic banks. Despite technological changes experienced by the banking system in the MENA region, the efficiency analysis shows that the technical inefficiency results from the pure technical inefficiency. Finally, the effectiveness of banks in the MENA region is sensitive to variables such as the crisis, deposits, capitalization and including especially variables related to business lines.

scholarly journals Technical Efficiency of Construction Companies: A Stochastic Frontier Model with Dependent Error

2019 ◽  
Vol 8 (2S11) ◽  
pp. 624-629
Keyword(s):  
Stochastic Frontier ◽  
Production Model ◽  
Copula Models ◽  
Construction Companies ◽  
Error Components ◽  
Measuring Efficiency ◽  
Efficiency Performance ◽  
Dea Models ◽  
Dependent Error ◽  
Statistical Noise

There are several problems with using the Standard Stochastic Frontier (SF) model to produce a company’s technical efficiencies. One of the problem is the hypothesis of independence between the error components, known as, statistical noise and inefficiency term. Recent studies have used the SFA-copula model where the copula element captures the joint distribution of the two error components thus assuming that the errors are dependent. This research seeks to use the Cobb-Douglas Stochastic Frontier production model (standard model), SFA-copula models and DEA models (DEA-CCR and DEA-BCC) to compare the technical efficiencies of 12 publicly listed construction companies in Malaysia. The latter models are non-parametric frontier models which will be used as a base to determine the best SF model. The four copulas considered in this study are Clayton, Gumbel, A12 and Product copulas. The main findings of this study are the SFA-copula models showed consistency in terms efficiency scores and rankings of companies as compared to DEA models. The results further raise the question of the reliability of standard SF model especially when SFA-product copula was chosen as the best model for measuring efficiency performance. Therefore, it is obvious that it is not possible to ignore the reliance between the noise and inefficiency term

Measuring Efficiency in Health Care

2006 ◽  
Author(s):  
Rowena Jacobs ◽  
Peter C. Smith ◽  
Andrew Street
Keyword(s):  
Health Care ◽  
Measuring Efficiency
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