A clusterwise regression method for the prediction of the disposal income in municipalities

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Abstract

The paper illustrates a clusterwise regression procedure applied to the prediction of per capita disposal income (PCDI) in Italian municipalities. The municipal prediction is derived from the provincial PCDI taking into account the discrepancy between municipality and province in some indicators like per capita taxable income, per capita bank deposits, employment rate, etc. The relation between PCDI and indicators is shaped by a regression model. A single regression model doesn't fit very well all territorial units, but different regression models do it in groups of them. The aim of clusterwise regression is just that: detecting clusters where the correspondent regression models explain the data better than an overall regression model does. The application of the procedure to a real case shows that a significative reduction of the regression standard error can be achieved.

Lingua originaleInglese
Titolo della pubblicazione ospiteClassification and Data Mining
EditoreKluwer Academic Publishers
Pagine173-180
Numero di pagine8
ISBN (stampa)9783642288937
DOI
Stato di pubblicazionePubblicato - 2013
Pubblicato esternamente
EventoJoint Meetings on Classification and Data Analysis Group of the Italian Statistical Society, CLADAG 2010 - Firenze, Italy
Durata: 8 set 201010 set 2010

Serie di pubblicazioni

NomeStudies in Classification, Data Analysis, and Knowledge Organization
ISSN (stampa)1431-8814

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???event.eventtypes.event.conference???Joint Meetings on Classification and Data Analysis Group of the Italian Statistical Society, CLADAG 2010
Paese/TerritorioItaly
CittàFirenze
Periodo8/09/1010/09/10

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