Quotation Bachtrögler, Julia and Badinger, Harald and Fichet de Clairfontaine, Aurélien and Reuter, Wolf Heinrich. 2016. Summarizing Data using Partially Ordered Set Theory: An Application to Fiscal Frameworks in 97 Countries. Statistical Journal of the IAOS 32, 383-402.




The widespread use of composite indices has often been motivated by their practicality to quantify qualitative data in an easy and intuitive way. At the same time, this approach has been challenged due to the subjective and partly ad hoc nature of computation, aggregation and weighting techniques as well as the handling of missing data. Partially ordered set (POSET) theory offers an alternative approach for summarizing qualitative data in terms of quantitative indices, which relies on a computation scheme that fully exploits the available information and does not require the subjective assignment of weights. The present paper makes the case for an increased use of POSET theory in the social sciences and provides a comparison of POSET indices and composite indices (from previous studies) measuring the 'stringency' of fiscal frameworks using data from the OECD Budget Practices and Procedures survey (2007/08).


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Statistical Journal of the IAOS
WU-Journal-Rating new VW-D
Language English
Title Summarizing Data using Partially Ordered Set Theory: An Application to Fiscal Frameworks in 97 Countries
Volume 32
Year 2016
Page from 383
Page to 402
Reviewed? Y
URL http://epub.wu.ac.at/4283/
DOI http://dx.doi.org/10.3233/SJI-160973
JEL C43, H60, E02, E62


Bachtrögler-Unger, Julia (Former researcher)
Badinger, Harald (Details)
Fichet de Clairfontaine, Aurélien (Former researcher)
Reuter, Wolf Heinrich (Former researcher)
Department of Economics (Badinger) (Details)
Research Institute for European Affairs FI (Details)
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