PARSEC: An R Package for Poset-Based Evaluation of Multidimensional Poverty

Marco Fattore () and Alberto Arcagni
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Marco Fattore: University of Milano-Bicocca, Department of Statistics and Quantitative Methods
Alberto Arcagni: University of Milano-Bicocca, Department of Statistics and Quantitative Methods

Chapter Chapter 15 in Multi-indicator Systems and Modelling in Partial Order, 2014, pp 317-330 from Springer

Abstract: Abstract The paper introduces PARSEC, a new software package implementing basic partial order tools for multidimensional poverty evaluation with ordinal variables. The package has been developed in the R environment and is freely available from the authors. Its main goal is to provide socio-economic scholars with an integrated set of elementary functions for multidimensional poverty evaluation, based on ordinal information. The package is organized in four main parts. The first two comprise functions for data management and basic partial order analysis; the third and the fourth are devoted to evaluation and implement both the poset-based approach and a more classical counting procedure. The paper briefly sketches the two evaluation methodologies, illustrates the structure and the main functionalities of PARSEC, and provides some examples of its use.

Keywords: Parsecs; Multidimensional Poverty Evaluation; Ordinal Variables; Matrix Partial Order; Head Count Ratio (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-8223-9_15

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DOI: 10.1007/978-1-4614-8223-9_15

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