Analysing a Pricing Policy for a Home Centre: A Case Study ()
Abstract
One critical aspect
of retailer category management is pricing the items in order to maximize total
profits. To define an appropriate pricing policy, a retailer should evaluate
how changes in prices of a set of items may impact their shelves or inter demands.
In this setting, elasticities play a major role. In addition, a proper policy
can be defined from different points of view. In this paper, estimation of a
profit function and its maximization under different scenarios is used as a
tool to analyze such policy. Estimation of this function is performed through
a previous selection of items within a home center category. Then, an adequate
AIDS model allowing calculation of elasticities is fitted. Moreover, a profit
function is defined in terms of prices and demands. This functionis linearized
for the following two purposes, to express it in terms of elasticities, and to
maximize it more easily under the consideration of different sets of item
prices defined in a convex set. Then, confidence intervals for the total and
marginal profits were built to gather the randomness of demands. The results
are applied to the selected items in a home center that behaves as a monopoly
in the area.
Share and Cite:
Maglione, D. & Diblasi, A. (2014). Analysing a Pricing Policy for a Home Centre: A Case Study.
Journal of Financial Risk Management, 3, 9-18. doi:
10.4236/jfrm.2014.31002.
Conflicts of Interest
The authors declare no conflicts of interest.
References
|
[1]
|
Attfield, C. (2004). Comparison of the Translog and Almost Ideal Demand System. Discussion Paper 04/564, Bristol: Department of Economics, University of Bristol.
|
|
[2]
|
Besanko, D., Gupta, S., & Jain, D. (1998). Logit Demand Estimation under Competitive Pricing Behavior. Management Science, 44, 1533-1547. http://dx.doi.org/10.1287/mnsc.44.11.1533
|
|
[3]
|
Christensen, R., Jorgenson, L. W., & Lau, L. J. (1975). Transcendental Logarithmic Utility Functions. The American Economic Review, 65, 367-383.
|
|
[4]
|
Deaton, A., &Muellbauer, J. (1980). An Almost Ideal Demand System. The American Economic Review, 70, 312-326.
|
|
[5]
|
Green, R., & Alston, J. (1990). Elasticities in AIDS Models. American Journal of Agricultural Economics, 72, 442-445.
http://dx.doi.org/10.2307/1242346
|
|
[6]
|
Lazear, E. P. (1986). Retail Pricing and Clearance Sales. The American Economic Review, 76, 14-32.
|
|
[7]
|
Srivastava, V., & Giles, D. (1987). Seemingly Unrelated Regression Equations Models: Estimation and Inference. New York: Marcel Dekker.
|
|
[8]
|
Theil, H. (1965). The Information Approach to Demand Analysis. Econometrika, 33, 67-87.
http://dx.doi.org/10.2307/1911889
|
|
[9]
|
Theil, H. (1976). Theory of Measurement of Consumer Demand. Econometrika, 33, 67-87.
http://dx.doi.org/10.2307/1911889
|