Abstract
In this chapter we give some examples of marketing models which have been estimated using the general linear model. Most of these models have been estimated using aggregate demand data. Aggregate demand refers to the demand across a sample of customers or households and can be measured at levels such as store, chain and market demand.
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Notes
- 1.
We use the terms industry sales and product class (category sales) interchangeably.
- 2.
- 3.
See Christen et al. (1997) .
- 4.
See Chap. 8.
- 5.
- 6.
- 7.
See, for example, McFadden and Reid (1975) .
- 8.
- 9.
- 10.
Calls for advertising bans in different areas such as alcohol and cigarettes continue to echo around the world on a continuing basis. This explains why so many product class models have been developed in these areas. See, e.g. Duffy (1996) ; Franses (1991) ; Leeflang and Reuyl (1995) ; Luik and Waterson (1996) ; Nelson (2006) ; Capella et al. (2011) .
- 11.
The assumption being that such variables affect demand for each brand equally. This assumption will often be quite reasonable. If not, however, environmental variables affecting brands differently should be included in the market share function (as well as in the direct estimation of brand sales).
- 12.
See Foekens et al. (1994) .
- 13.
- 14.
Foekens et al. (1999) .
- 15.
Van Heerde et al. (2001) .
- 16.
- 17.
- 18.
See Van Heerde et al. (2002) .
- 19.
- 20.
These markets also have been studied by Windmeijer et al. (2005) .
- 21.
The time and brand index are omitted for notational convenience.
- 22.
In normative marketing mix studies one generally seeks the optimal policy for one brand assuming particular competitive reaction patterns. This means that one does not derive a simultaneous optimum for all brands in the product class. The latter would call for a game theoretical approach. We discuss game theoretical approaches in Volume II.
- 23.
For a more formal treatment, extending to other variables as well, see Lambin et al. (1975, pp. 106–115) . In that paper the special character of quality as a decision variable is also discussed. A generalization to multiproduct markets is given by Bultez (1975) , whereas Plat and Leeflang (1988) extend this model to account for more segments.
- 24.
- 25.
- 26.
We assume β ℓ , β ℓ j ≥ 0 for all ℓ, j which applies to variables such as distribution, selling effort, advertising, and sales promotions. For variables such as price for which β ℓ , β ℓ j ≤ 0 an analogous reasoning can be formulated.
- 27.
- 28.
- 29.
For a more thorough discussion see Cooper and Nakanishi (1988, pp. 62–65) .
- 30.
See Nakanishi and Cooper (1982) .
- 31.
This has consequences for the degrees of freedom and the estimated standard errors. See Foekens (1995, p. 169) .
- 32.
We do not discuss the assumptions of the disturbances nor the estimation techniques required to estimate these relations.
- 33.
- 34.
- 35.
This model is a modification of a model developed by Lambin (1969) .
- 36.
Following the Dorfman and Steiner (1954) theorem derived in the Appendix to this chapter.
- 37.
This rather complex expression results from the fact that in Eq. (7.35) logarithms to the base ten were used.
- 38.
\(\frac{\partial \pi (LT)} {\partial a} = \frac{(p - c)(\partial q/\partial a)} {1 -\lambda /(1 + i)} - 1 = 0\), or \(\frac{p\partial q/\partial a} {1 -\lambda /(1 + i)} = \frac{p} {p - c} = \frac{p} {p -\mathit{MC}} = \frac{1} {w}\).
- 39.
The parameter λ has been estimated from annual data. From Sect. 2.8.2 we know that \(\hat{\lambda }\) may be biased upward.
- 40.
- 41.
It is also conceivable, of course, to have both budget determination and allocation in one single model. An example is the “integrated model for sales force structuring” developed by Rangaswamy et al. (1990) .
- 42.
- 43.
See also Tellis and Zufryden (1995) .
- 44.
We assume that second-order conditions are satisfied.
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Appendix: The Dorfman–Steiner Theorem
Appendix: The Dorfman–Steiner Theorem
Profit π is:
If the objective is to maximize profit, at optimality we should haveFootnote 44:
Dividing (7.48) by (∂ q∕∂ p) we obtain:
Total variable production cost equals c ⋅ q. Marginal cost (MC) is then:
Using (7.52), we can write (7.51) as:
Dividing both sides by p, and letting:
we obtain:
where
Dividing (7.49) by (∂ q∕∂ a),
or
After dividing both sides by p, we find:
where
Finally, we divide (7.50) by \(\partial q/\partial \tilde{x}\):
or
or
where
At optimality (7.53), (7.54), and (7.55) should hold simultaneously, or:
This result is generally known as the Dorfman and Steiner (1954) theorem. This theorem has been modified and extended in many directions. Examples are the models of Lambin (1970) ; Lambin et al. (1975) ; Leeflang and Reuyl (1985b) ; Plat and Leeflang (1988) ; Mantrala et al. (2007) .
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Leeflang, P.S.H., Wieringa, J.E., Bijmolt, T.H.A., Pauwels, K.H. (2015). Examples of Models for Aggregate Demand. In: Modeling Markets. International Series in Quantitative Marketing. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2086-0_7
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