RIS ID
20541
Abstract
Expectile regression, and more generally M-quantile regression, can be used to characterise the relationship between a response variable and explanatory variables when the behaviour of "nonaverage" individuals is of interest. The aim is to demonstrate how an individual expectile-order, based on nonparametric estimation of the expectile regression function, can also be used to define a conditional ordering of the individual's value relative to the values of other members of a data set. The relationship between contextual, or "grouping", variables and this ordering can then be investigated. In particular, we propose five estimators of expectile-order, which we compare via simulation. The use of estimated expectile-order to investigate grouping effects is then illustrated using data on physician prescribing behaviour in the Midi-Pyrenees region of France during 1999.
Publication Details
Aragon, Y., Casanova, S., Chambers, R. & Leconte, E. (2005). Conditional ordering using nonparametric expectiles. Journal of Official Statistics: an international quarterly, 21 (4), 617-633.