Uncertainty and Sensitivity Analyses of PISA Efficiency: Distance Based Analysis Approach

doi:10.12700/aph.12.3.2015.3.3

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…Fourth, we also emphasize that the CIDI methodology used in this research is data-driven rather than biased. Although some authors would prefer that a weighting scheme of composite indicators should reflect the intuitive and biased importance of the individual sub-indicators, our research is predominantly guided by the methods that advocate data-driven results, such as Data Envelopment Analysis (DEA) (Charnes et al 1978;Milanović et al 2022) or Distance Based Analysis (DBA) (Dobrota et al 2015a). Additionally, through the CIDI methodology, we provide a transparent composite indicator that is easily interpretable and comprehensive.…”

Section: Contributionsmentioning

confidence: 99%

A Novel Approach to Measuring the Performance of Tax Administrations

Milosavljevic,

Ignjatovic,

Milanović

et al. 2024

Preprint

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The performance of tax administrations (TAs) is usually described as their capacity to complete activities with the minimum of resources engaged. Accordingly, tax administration performance is a multifaceted phenomenon, and measuring and benchmarking its performance against other countries or regions remains a puzzle for researchers and practitioners. This paper introduces a new approach for measuring tax administration performance using the Composite I-Distance Indicator based on 11 individual performance measures from 35 European tax administrations over two consecutive years (2018-2019). The findings highlight Denmark and the Netherlands as exemplary models for tax administration, with “Revenue Collection” being identified as a crucial driver of excellence and “Operational Performance” (such as “e-filing” and “on-time filing”) forming critical aspects of TA efficiency. This approach can be valuable for policymakers, public administration analysts, and other stakeholders interested in assessing tax administration efficiency across countries or similar problem areas requiring integrated performance indicators.

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Section: Contributionsmentioning

confidence: 99%

A Novel Approach to Measuring the Performance of Tax Administrations

Milosavljevic,

Ignjatovic,

Milanović

et al. 2024

Preprint

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Sensitivity analysis as a tool to optimise Human Development Index

Kuc‐Czarnecka

2019

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Research background: Composite indicators are commonly used as an approximation tool to measure economic development, the standard of living, competitiveness, fairness, effectiveness, and many others being willingly implemented into many different research disciplines. However, it seems that in most cases, the variable weighting procedure is avoided or erroneous since, in most cases, the so-called ‘weights by belief’ are applied. As research show, it can be frequently observed that weights do not equal importance in composite indicators. As a result, biased rankings or grouping of objects are obtained. Purpose of the article: The primary purpose of this article is to optimise and improve the Human Development Index, which is the most commonly used composite indicator to rank countries in terms of their socio-economic development. The optimisation will be done by re-scaling the current weights, so they will express the real impact of every single component taken into consideration during HDI’s calculation process. Methods: In order to achieve the purpose mentioned above, the sensitivity analysis tools (mainly the first-order sensitivity index) were used to determine the appropriate weights in the Human Development Index. In the HDI’s resilience evaluation process, the Monte Carlo simulations and full-Bayesian Gaussian processes were applied. Based on the adjusted weights, a new ranking of countries was established and compiled with the initial ranking using, among others, Kendall tau correlation coefficient. Findings & Value added: Based on the data published by UNDP for 2017, it has been shown that the Human Development Index is built incorrectly by putting equal weights for all of its components. The weights proposed by the sensitivity analysis better reflect the actual contribution of individual factors to HDI variability. Re-scaled Human Development Index constructed based on proposed weights allow for better differentiation of countries due to their socio-economic development.

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Towards a Framework for Measuring E-Health Status across the World

Jovanović-Milenković

Jeremić

2016

Encyclopedia of E-Health and Telemedicine

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Uncertainty and Sensitivity Analyses of PISA Efficiency: Distance Based Analysis Approach

Cited by 3 publications

References 35 publications

A Novel Approach to Measuring the Performance of Tax Administrations

A Novel Approach to Measuring the Performance of Tax Administrations

Sensitivity analysis as a tool to optimise Human Development Index

Towards a Framework for Measuring E-Health Status across the World

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