A retail chain manager must draw on experience based on data available from
his points of sale to diagnose space misallocations in stores and to make
recommendations. This paper presents an empirical estimate of shelf space e
lasticities from a variety store chain database at product category level w
ith a share of space vs. share of sales econometric model. It suggests that
external influences could explain space elasticity differences. Results sh
ow that space elasticities increase with the impulse buying rate of the pro
duct category and do not depend on the type of store. (C) 1998 Elsevier Sci
ence B.V. All rights reserved.