Abstract
A Bayesian method of estimating multivariate sample selection models is introduced
and applied to the estimation of a demand system for food in the UK to
account for censoring arising from infrequency of purchase. We show how it is
possible to impose identifying restrictions on the sample selection equations and
that, unlike a maximum likelihood framework, the imposition of adding up at
both latent and observed levels is straightforward. Our results emphasise the role
played by low incomes and socio-economic circumstances in leading to poor
diets and also indicate that the presence of children in a household has a negative
impact on dietary quality.
Original language | English |
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Pages (from-to) | 501 - 521 |
Number of pages | 21 |
Journal | European Review of Agricultural Economics |
Volume | 37 |
Issue number | 4 |
Publication status | First published - 2010 |
Keywords
- Almost ideal demand system
- Bayesian estimation
- Censoring
- Diet and health