TY - GEN
T1 - A clusterwise regression method for the prediction of the disposal income in municipalities
AU - Chirico, Paolo
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84892608989&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-28894-4_21
DO - 10.1007/978-3-642-28894-4_21
M3 - Conference contribution
SN - 9783642288937
T3 - Studies in Classification, Data Analysis, and Knowledge Organization
SP - 173
EP - 180
BT - Classification and Data Mining
PB - Kluwer Academic Publishers
T2 - Joint Meetings on Classification and Data Analysis Group of the Italian Statistical Society, CLADAG 2010
Y2 - 8 September 2010 through 10 September 2010
ER -