The theoretical contributions to a “good” taxation have put the attention on the relations between the efficiency and the vertical equity without considering the “horizontal equity” notion: only recently, measures connected to equity (iniquity) of a taxation have been introduced in literature. The taxation problem is limited to the study of two quantitative characters: however the concordance problem can be extended in a more general context as we present in the following sections. In particular, the aim of this contribution consists in defining concordance indexes, as dependence measures, in a multivariate context. For this reason a k-variate .k > 2/ concordance index is provided recurring to statistical tools such as ranks-based approach and multiple linear regression function. All the theoretical topics involved are shown through a practical example.
Multivariate ranks-based concordance indexes / E. Raffinetti, P. Giudici - In: Advanced statistical methods for the analysis of large data-sets / [a cura di] A. Di Ciaccio, M. Coli, J.M. Angulo Ibanez. - Berlin : Springer, 2012. - ISBN 9783642210365. - pp. 465-473 (( convegno Statistical methods for the analysis of large data-sets tenutosi a Pescara nel 2009 [10.1007/978-3-642-21037-2].
Multivariate ranks-based concordance indexes
E. RaffinettiPrimo
;
2012
Abstract
The theoretical contributions to a “good” taxation have put the attention on the relations between the efficiency and the vertical equity without considering the “horizontal equity” notion: only recently, measures connected to equity (iniquity) of a taxation have been introduced in literature. The taxation problem is limited to the study of two quantitative characters: however the concordance problem can be extended in a more general context as we present in the following sections. In particular, the aim of this contribution consists in defining concordance indexes, as dependence measures, in a multivariate context. For this reason a k-variate .k > 2/ concordance index is provided recurring to statistical tools such as ranks-based approach and multiple linear regression function. All the theoretical topics involved are shown through a practical example.File | Dimensione | Formato | |
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