A Dimension Reduction Approach to the Study of City Family-income Distributions Via Sliced Inverse Regression
AbstractSliced 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.
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Bibliographic InfoPaper provided by Toulouse - GREMAQ in its series Papers with number 96.438.
Length: 18 pages
Date of creation: 1996
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- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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