Efficient estimators : the use of neural networks to construct pseudo panels

Details Efficient estimators : the use of neural networks to construct pseudo panels Efficient estimators : the use of neural networks to construct pseudo panels

2007-01-05

arxiv.org/abs/math/0701154v1

Proceedings of the conference WSOM 2003 Kitakiushu, Japan (2003) 331-339

Mathematics

Statistics Theory

Scientific paper

Pseudo panels constituted with repeated cross-sections are good substitutes to true panel data. But individuals grouped in a cohort are not the same for successive periods, and it results in a measurement error and inconsistent estimators. The solution is to constitute cohorts of large numbers of individuals but as homogeneous as possible. This paper explains a new way to do this: by using a self-organizing map, whose properties are well suited to achieve these objectives. It is applied to a set of Canadian surveys, in order to estimate income elasticities for 18 consumption functions..

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