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Quantitative Storytelling in the Making of a Composite Indicator

Bibliographic Data

ID2063554
AuthorsMarta Kuc-Czarnecka (0000-0003-2970-9980, Gdańsk University of Technology), Samuele Lo Piano (0000-0002-2625-483X, University of Reading), Andrea Saltelli (0000-0003-4222-6975, Open Evidence)
Year2020
Volume149
Issue3
Pages775-802
Publication date2020-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Indicators Research (JOURNAL)
Journal identifiersISSN: 0303-8300 • E-ISSN: 1573-0921
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11205-020-02276-0
OpenAlexW3002977326
LanguageEN
Citations received33
References cited84

The reasons for and against composite indicators are briefly reviewed, as well as the available theories for their construction. After noting the strong normative dimension of these measures-which ultimately aim to 'tell a story', e.g. to promote the social discovery of a particular phenomenon, we inquire whether a less partisan use of a composite indicator can be proposed by allowing more latitude in the framing of its construction. We thus explore whether a composite indicator can be built to tell 'more than one story' and test this in practical contexts. These include measures used in convergence analysis in the field of cohesion policies and a recent case involving the World Bank's Doing Business Index. Our experiments are built to imagine different constituencies and stakeholders who agree on the use of evidence and of statistical information while differing on the interpretation of what is relevant and vital

Cohesion (chemistry · Composite index · Composite indicator · Econometrics · Economics · Epistemology · Framing (construction · Interpretation (philosophy · Linguistics · Narrative · Normative · Phenomenon · Political science · Positive economics · Sociology · Storytelling · Computer Science · History · Income, Poverty, and Inequality · Law · Regional Development and Policy · Sustainability and Climate Change Governance

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Unique citing works33
Citations per year5,5
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 33

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