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Journal of Applied Econometrics
Article . 2007 . Peer-reviewed
License: Wiley Online Library User Agreement
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Habits and heterogeneity in demands: a panel data analysis

Authors: Browning, Martin; Collado, Dolores M.;

Habits and heterogeneity in demands: a panel data analysis

Abstract

AbstractWe examine demand behaviour for intertemporal dependencies, using Spanish panel data. We present evidence that there is both state dependence and correlated heterogeneity in demand behaviour. Our specific findings are that food outside the home, alcohol and tobacco are habit forming, whereas clothing and small durables exhibit durability. We conclude that demand analyses using cross‐section data that ignore these effects may be seriously biased. On the other hand, the degree of intertemporal dependence is not sufficiently strong to make composite ‘consumption’ significantly habit forming, as has been suggested in some recent analyses. Copyright © 2007 John Wiley & Sons, Ltd.

Countries
United Kingdom, Denmark
Keywords

habit; demand, Habits, State dependence, correlated heterogeneity., jel: jel:C92, jel: jel:D91, jel: jel:C72, jel: jel:D44, jel: jel:C23, jel: jel:H41

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Top 10%
Top 10%
Top 10%
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