Efficient estimators : the use of neural networks to construct pseudo panels
| dc.creator | Cottrell, Marie | |
| dc.creator | Gaubert, Patrice | |
| dc.date | 2007-01-05 | |
| dc.date.accessioned | 2026-07-07T08:08:35Z | |
| dc.date.available | 2026-07-07T08:08:35Z | |
| dc.description | 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.. | |
| dc.identifier | https://arxiv.org/abs/math/0701154 | |
| dc.identifier | http://arxiv.org/abs/math/0701154 | |
| dc.identifier | Proceedings of the conference WSOM 2003 Kitakiushu, Japan (2003) 331-339 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/131311 | |
| dc.subject | Statistics Theory | |
| dc.title | Efficient estimators : the use of neural networks to construct pseudo panels | |
| dc.type | text |