Summarizing Data using Partially Ordered Set Theory: An Application to Fiscal Frameworks in 97 Countries
Aurélien Fichet de Clairfontaine () and
Wolf Heinrich Reuter ()
Department of Economics Working Papers from Vienna University of Economics and Business, Department of Economics
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).
Keywords: Partially Ordered Set Theory; Composite Indices; Index Functions; Fiscal Frameworks; Fiscal Rules; Budgetary Procedures (search for similar items in EconPapers)
JEL-codes: C43 H60 E02 E62 (search for similar items in EconPapers)
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Working Paper: Summarizing Data using Partially Ordered Set Theory: An Application to Fiscal Frameworks in 97 Countries (2014)
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