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 language | English |
|---|---|
| Title of host publication | Statistical Methods for Service Quality Evaluation |
| Pages | 81-88 |
| Number of pages | 8 |
| Publication status | Published - 2020 |
| Event | Statistical Methods for Service Quality Evaluation - Rome Duration: 4 Jul 2019 → 5 Jul 2019 |
Conference
| Conference | Statistical Methods for Service Quality Evaluation |
|---|---|
| City | Rome |
| Period | 4/7/19 → 5/7/19 |
Keywords
- Poset
- ordinal data
- regression trees
- self-reported health