Abstract
The aim of regression clustering (Bin Zhang, 2003) is segmenting a number of units in some clusters in order to detect a good regression model in each cluster. Then regression clustering is suitable when, given some explicative variables (regressors),
a single regression model doesn’t fit well all the units, but different regression models might fit well partitions of the data (see also Sarstedt and Schwaiger (2006)). In this paper a regression clustering procedure is adapted to a particular regression to predict the pro capita disposal income (PCDI) in municipalities. The particularity of this regression consist in: it is a two-level regression (municipalities and provinces) and the parameters estimation is run at the provincial level under some assumptions.
Lingua originale | Inglese |
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Pagine | 135-136 |
Numero di pagine | 2 |
Stato di pubblicazione | Pubblicato - 1 gen 2010 |
Evento | GfKl - CLADAG 2010 - Firenze Durata: 1 gen 2010 → … |
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???event.eventtypes.event.conference??? | GfKl - CLADAG 2010 |
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Città | Firenze |
Periodo | 1/01/10 → … |
Keywords
- Regression clustering
- pro capita disposal income