the use of resources in various Data Envelopment Analysis (DEA) models. As the use of survey data implies that the quality … variables are measured with error, the assumptions underlying a DEA model are not strictly fulfilled. This paper focuses on ways …. The corrected quality evaluation variables are entered as outputs in the DEA model, and model specification tests indicate …

productivity measures are obtained using data envelopment analysis (DEA) on a comparable dataset of 728 Nordic hospitals in the … second stage in the DEA approach. Results indicate that the hospital reform in Norway seems to have improved the level of …

Ved hjelp av dataomhyllingsanalyse (DEA) beregnes utviklingen i produktivitet i de fire nordiske landene for perioden …

Norwegian hospitals using the non-parametric Data Envelopment Analysis (DEA) method. The cost function is specified with total … frontier. To overcome the methodological assumption of convexity inherent in DEA, the sample is split into relative specialised … specialised hospitals, in all of the dimensions mentioned, although the differences are not very large. Since the DEA method …

The units found strongly efficient in DEA studies on efficiency can be divided into self-evaluators and active peers … distribution of the scores. A method for classifying self-evaluators based on the additive DEA model is developed. The application …

analyses cross-sectional data on the psychiatric outpatient clinics of Norway using the Data Envelopment Analysis (DEA) non …

på kvalitet i effektivitetsanalyser av allmenpraktikere. Effektivitetsverdiene er beregnet ved DEA metoden, med … dataprogrammet Frisch DEA og supplerende analyser er foretatt ved hjelp av EXCEL og SPSS. Dataene som ligger til grunn er individata … modellen som benyttes i dette arbeidet. <p> Som et alternativ til inkluderingen av pasientenes vurderinger i DEA …

bootstrapped Data Envelopment Analysis (DEA) or Stochastic Frontier Analysis (SFA) as frontier estimation methodology. …