A Poset perspective for the evaluation of self-reported health of the elderly in Italy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Measuring health status is becoming a more and more relevant task, especially in relation to ageing societies. In this contribution, we first propose the use of a methodology based on the theory of Ordered Sets that allows to build synthetic indicators out of a set of ordinal variables, respecting the ordinal nature of the variables included. Secondly, using survey data, we calculate two synthetic indicators to evaluate self-rated health status of the elderly population living in Italy.
Original languageEnglish
Title of host publicationStatistical Methods for Service Quality Evaluation
Pages81-88
Number of pages8
Publication statusPublished - 2020
EventStatistical Methods for Service Quality Evaluation - Rome
Duration: 4 Jul 20195 Jul 2019

Conference

ConferenceStatistical Methods for Service Quality Evaluation
CityRome
Period4/7/195/7/19

Keywords

  • Poset
  • ordinal data
  • regression trees
  • self-reported health

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