N. Rice et M. Sutton, Drinking patterns within households: The estimation and interpretation of individual and group variables, HEALTH ECON, 7(8), 1998, pp. 689-699
Levels of alcohol consumption tend to be similar for individuals living in
the same household. This may be because: (a) individuals with similar chara
cteristics collect in households (correlated effects); (b) individuals in t
he same household are influenced by common factors (exogenous effects); and
/or (c) the consumption levels of an individual directly influences the con
sumption levels of other individuals in the same household (endogenous effe
cts). Whichever of these three possibilities is the principal reason underl
ying household clustering of consumption levels has important policy implic
ations. In this paper we propose a testing strategy to distinguish between
the three types of effect in a cross-sectional data-set. Allowing for exoge
nous or endogenous effects shows that the significant socio-economic gradie
nt in a model containing only individual variables arises because of misspe
cification. However, because we find significant evidence of correlated eff
ects, we cannot identify whether it is endogenous or exogenous effects whic
h give rise to statistically significant group level variables. The results
indicate the possible pitfalls of omitting group level influences. (C) 199
8 John Wiley & Sons, Ltd.