A Dimension Reduction Approach to the Study of City Family-income Distributions Via Sliced Inverse Regression

Y. Aragon, K.C. Li and Christine Thomas-Agnan

Working Papers from Toulouse - GREMAQ

Abstract: Sliced inverse regression is a dimension reduction technique for exploring non-linear relationships between an output variable and a vector of input variables. Motivated by a data set of income distributions and economic indicators of french cities, we adress the problem of modelling a family of empirical distribution functions in terms of some covariates. SIR allows us to visually explore the ralationship between the covariates and several important features of the income distributions. A stochastic ordering is revealed for the French city income distributions.

Keywords: ECONOMETRICS (search for similar items in EconPapers)
JEL-codes: C51 (search for similar items in EconPapers)
Pages: 18 pages
Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:fth:gremaq:96.438

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