2018
DOI: 10.1007/s10657-018-9582-y
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A bootstrapped Malmquist index applied to Swedish district courts

Abstract: This study measures the total factor productivity (TFP) of the Swedish district courts by applying data envelopment analysis to calculate the Malmquist productivity index (MPI) of 48 Swedish district courts from 2012 to 2015. In contrast to the limited international literature on court productivity, this study uses a fully decomposed MPI. A bootstrapping approach is further applied to compute confidence intervals for each decomposed factor of TFP. The findings show a 1.7% average decline of TFP, annually. Howe… Show more

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Cited by 18 publications
(6 citation statements)
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“…6 Caseload, consisting of pending and new cases, is included as an input in Schneider (2005) and Nissi and Rapposelli (2010), based on the argument that performance will be underestimated if the workload is a binding upper bound on utilization efficiency. This is, however, only an effect of the sticky nature of the inputs, because a lower workload can be compensated by less input to achieve higher efficiency, as argued by Mattsson et al (2018). Using caseload as an input may also introduce bias based on poor performance (through backlogging of demand) and/or lack of resources in previous periods (Santos and Amado 2014).…”
Section: Inputs and Outputs In Measuring Efficiency For Courtsmentioning
confidence: 99%
“…6 Caseload, consisting of pending and new cases, is included as an input in Schneider (2005) and Nissi and Rapposelli (2010), based on the argument that performance will be underestimated if the workload is a binding upper bound on utilization efficiency. This is, however, only an effect of the sticky nature of the inputs, because a lower workload can be compensated by less input to achieve higher efficiency, as argued by Mattsson et al (2018). Using caseload as an input may also introduce bias based on poor performance (through backlogging of demand) and/or lack of resources in previous periods (Santos and Amado 2014).…”
Section: Inputs and Outputs In Measuring Efficiency For Courtsmentioning
confidence: 99%
“…Finally, Mattsson, Månsson, Andersson, and Bonander (2018) incorporate the potential heterogeneity between the output variables by a weighting based on differences in spent resources between the 14 categories, employ the super-efficiency model to eliminate outliers, and calculate the output-oriented Malmquist productivity index by applying a nonparametric frontier technology to evaluate the efficiency and productivity of Swedish district courts from 2011 to 2015: they obtain a 1.7% average productivity decline per year.…”
Section: Introductionmentioning
confidence: 99%
“…In the South African context, a recent study by Myeki and Temoso (2019) uses DEA to examine efficiency of public universities. Apart from the fact that the model has been widely utilised in the public sector where outputs are not sold on the market (Mattsson et al 2018), Myeki and Temoso (2019) justify their primary preference for DEA based on multiple performance indicators inherent with public universities in South Africa. In the view of Johnes and Tone (2017), DEA is very useful in cases where there is a multiplicity of inputs used to produce a multiplicity of outputs, and where market prices are not available.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, unlike parametric models DEA does not need an assumption of a functional form linking inputs to outputs and the distributional assumption of the error term (Johnes and Tone 2017). One of the main limitations of the DEA technique is its deterministic nature, and therefore this technique is referred to as a non-statistical method (Mattsson et al 2018). Resampling techniques such as the bootstrap procedure suggested by Simar and Wilson (1998) can help with this issue to some degree.…”
Section: Introductionmentioning
confidence: 99%