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Does add-on presence always lead to lower baseline prices? Theory and evidence

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Abstract

In many industries, firms give consumers the opportunity to add (at a price) optional goods and services to a baseline product. The aim of our paper is to clarify the effect that offering add-ons has on baseline prices. In order to do that, we develop a theoretical model of add-on pricing in competitive environments with two distinctive features. First, we discuss the choice of offering the add-on, if this entails a fixed cost. Second, we allow firms to have a varying degree of market power over the add-on. In symmetric equilibria, the presence of add-on always reduces baseline prices. In asymmetric equilibria in which only one firm offers the add-on, its presence increases the baseline price if the firm’s market power over the add-on is limited. The latter prediction of the model is confirmed by a hedonic price regression using a dataset of cruises offered worldwide, a situation in which it is possible to control for the level of add-on market power.

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Notes

  1. Carlton and Waldman (2010) identify other mechanisms through which aftermarket monopolisation can be efficiency enhancing.

  2. Also, there are a few laboratory experimental papers on add-ons (Wenzel and Normann 2015) and the related issue of product attribute complexity and buyer confusion (Kalaycı and Potters 2011).

  3. We shall assume that \( \tau > \frac{{u^{A} }}{3} \) which guarantees positive profit for both firms in all possible configurations.

  4. Our model turns out to be equivalent to a few instances in which consumers are (ex-ante or ex-post) heterogeneous with respect to add-on surplus. Suppose there are two types of consumers: a type with \( u^{A} > 0 \) and a type with \( u^{A} > 0 \), with probability \( \rho \) that a consumer is type-\( u^{A} \) (independent of consumers’ horizontal preferences of baseline product). The type is known to consumers but unobservable by the firm. It can be shown that this model is equivalent to the basic version of the model if we define \( u^{\prime A} = \rho u^{A} \). In the two-type model just described, assume that individual consumers are ex-ante uncertain of their own type, which they discover after buying the baseline product. The consumer is type-\( u^{A} \) with probability \( \lambda \). In this case, the model is equivalent to the basic version redefining \( u^{\prime A} = \lambda u^{A} \).

  5. The assumption that the unit cost of production for A is zero is not restrictive, since all the results of interest for this paper are unaffected if we assume positive unit cost. Moreover, as we do not model the decision as to whether offer the baseline product, the fixed cost associated with this decision is not considered.

  6. Suppose that consumers could get the utility from the outside option (\( \underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{u} \)), even if a firm did not offer the add-on. For a given price of the baseline product, and given the equilibrium in the add-on market, consumers would get the same utility buying from a firm, with or without the add-on. This does not occur in our set up, where the consumers prefer that the add-on is included (unless \( \underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{u} = u^{A} \)).

  7. This result, together with the related conclusion that profits are independent of \( \alpha \), relies on inelastic demand for A and B.

  8. A similar result is obtained if we compare the case in which only one firm offers the add-on, say firm 0 (case b), and the case in which no firm offers the add-on (case a). In this case, firm 0 posts a higher price in case (b) if \( \alpha < 1/3 \) and a lower price otherwise. Firm 1, instead, unambiguously fixes a lower price. The intuition is shared with the case of asymmetric equilibrium. We also verify how including the add-on leads to a higher baseline price for low \( \alpha \) in a non-competitive setting, where B products are offered by a single firm, for the same logic described here.

  9. It is important to observe that this result does not hinge upon the existence of a single add-on with inelastic demand. On one hand, it extends to the case of multiple add-ons if the utility provided by add-ons is additive. On the other hand, in a more general model with generic values for add-on profit and consumer surplus (which includes the case of elastic demand), it shows that that the price for the baseline product is lower for the firm offering the add-on only if the profit/consumer surplus ratio is above 2.

  10. Best responses are formally derived in “Appendix A”.

  11. As for the first irrelevance result presented in Sect. 3.2.2, also this one is not new to the literature, and hinges on the assumption of inelastic demand, and thus no output distortion from a high add-on price (Borenstein et al. 1995).

  12. Zenger (2013) makes a similar assumption.

  13. Source: Cruise Lines International Association.

  14. http://www.cruisemarketwatch.com/ accessed on May 2016.

  15. Incidentally, we notice that the website Cruise.com reports the full price of a cruise, therefore including other charges, only when the cruise is selected for purchase. By searching the same cruise on companies’ websites, it appears that “other charges” on Cruise.com are all taxes, fees, and port expenses imposed by governmental and quasi-governmental authorities.

  16. See, for instance, websites such as http://www.cruises.com/promotion/cruising-101.do or http://www.cruise.com/cruise-information/cruise-tips.asp.

  17. https://help.carnival.com/app/answers/detail/a_id/3861/~/what-does-the-price-of-my-cruise-include%3F.

  18. A few characteristics could be associated to “bundle of services” which are only partially included in the baseline products. This may be the case of TVs (firms can charge for pay-per-view movies) and refrigerators (guests can be charged for drinks from the minibar). Thus, allocating these characteristics to the add-ons or control group can in fact look arbitrary. In that respect, we adopted a “restrictive” approach in the definition of add-ons, excluding from the group the” ambiguous” characteristics, such as TV and refrigerator.

  19. The estimated coefficients of these variables are therefore price elasticities. Given that the variable excursions per night assumes the value 0 for some observations and that the logarithm is not defined at 0, we add 0.001 to this variable before taking logs.

  20. Among the diverse models we tested, we also considered interactions between cabin type and other variables to see if different quality levels in the cabins would have an effect on the evaluations of other characteristics. However, the interactions were not significant. The results presented in Table 2 are robust to these specifications (the significant variables we find continue to be significant and with the same sign). A previous specification also included the variable tonnage of the ship. As tonnage (log of) resulted in high collinearity with capacity (log of) in the VIF test, we decided to include only capacity as the measure of size in the final analysis. The results of these various model specifications are available from the authors upon request.

  21. Insignificance can be accounted for by considering that these two variables are associated to services with presumably low value for consumers and relatively low probability to be used.

  22. In our data, this is shown by the negative correlations between the estimated cruise line dummies and the market share in terms of passengers and revenue, − 0.32 and − 0.36 respectively. This suggests a price premium for small market-share firms.

  23. http://www.vgchartz.com/.

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Acknowledgements

We wish to thank participants of the 2014 “Industrial Organization: Theory, Empirics and Experiment” Conference, University of Salento; the 2014 EARIE Conference, Bocconi University, Milan; the 2015 Forum on Industrial Organization and Marketing—Lupcon Center for Business Research, Lisbon; the 2017 EARIE Conference, Maastricht, for their comments and suggestions. The usual caveat applies.

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Appendices

Appendix A

1.1 Proof of Proposition 1

We now show how equilibrium prices are computed in each case.

Case (a)

If no firm offers A, consumers’ utility functions are given by:

$$ u_{i} \left( 0 \right) = u^{B} - p_{0}^{B} - \tau x_{i} $$
(A1)
$$ u_{i} \left( 1 \right) = u^{B} - p_{1}^{B} - \tau (1 - x_{i} ) $$
(A2)

The location of the indifferent consumer (for a given price) is obtained by solving:

$$ u^{B} - p_{0}^{B} - \tau \hat{x} = u^{B} - p_{1}^{B} - \tau \left( {1 - \hat{x}} \right) $$
(A3)

which yields:

$$ \hat{x} = \frac{1}{2} + \frac{{p_{1}^{B} - p_{0}^{B} }}{2\tau } $$
(A4)

Demand for firm 0 is then equal to \( \hat{x} \), while demand for 1 is equal to \( 1 - \hat{x} \). Profit functions are thus as follows:

$$ \varPi_{0} = \left( {\frac{1}{2} + \frac{{p_{1}^{B} - p_{0}^{B} }}{2\tau }} \right)p_{0}^{B} $$
(A5)
$$ \varPi_{1} = \left( {\frac{1}{2} + \frac{{p_{0}^{B} - p_{1}^{B} }}{2\tau }} \right)p_{1}^{B} $$
(A6)

As the two firms are symmetric, we need to consider the first-order condition of one firm only, say firm 0:

$$ \left( {\frac{1}{2} + \frac{{p_{1}^{B} - p_{0}^{B} }}{2\tau }} \right) - \frac{1}{2t}p_{0}^{B} = 0 $$
(A7)

Imposing symmetry (\( p_{1}^{B} = p_{0}^{B} \)) and solving equation (A7), we obtain equilibrium prices \( p_{1}^{B} = p_{0}^{B} = \tau \). Putting equilibrium prices into (A5) and (A6) yields the equilibrium profits.

Case (b)

If only firm 0 offers A, the utility functions are:

$$ u_{i} \left( 0 \right) = \left( {1 - \alpha } \right)u^{A} + u^{B} - p_{0}^{B} - \tau x_{i} $$
(A8)
$$ u_{i} \left( 1 \right) = u^{B} - p_{1}^{B} - \tau (1 - x_{i} ) $$
(A9)

The location of the indifferent consumer (for a given price) is obtained, in this case, by solving:

$$ \left( {1 - \alpha } \right)u^{A} + u^{B} - p_{0}^{B} - \tau x_{i} = u^{B} - p_{1}^{B} - \tau (1 - x_{i} ) $$
(A10)

which yields:

$$ \hat{x} = \left( {\frac{1 - \alpha }{2\tau }} \right)u^{A} + \frac{1}{2} + \frac{{p_{1}^{B} - p_{0}^{B} }}{2\tau } $$
(A11)

Profits are given by:

$$ \varPi_{0} = \left( {\frac{1 - \alpha }{2\tau }u^{A} + \frac{1}{2} + \frac{{p_{1}^{B} - p_{0}^{B} }}{2t}} \right)\left( {p_{0}^{B} + \alpha u^{A} } \right) $$
(A12)
$$ \varPi_{1} = \left( {\frac{\alpha - 1}{2\tau }u^{A} + \frac{1}{2} + \frac{{p_{0}^{B} - p_{1}^{B} }}{2\tau }} \right)p_{1}^{B} $$
(A13)

From the first-order conditions, we obtain firms’ best response functions:

$$ p_{0}^{B} = \frac{{\tau + p_{1}^{B} + \left( {1 - 2\alpha } \right)u^{A} }}{2} $$
(A14)
$$ p_{1}^{B} = \frac{{\tau + p_{0}^{B} - \left( {1 - \alpha } \right)u^{A} }}{2} $$
(A15)

Solving (A14)–(A15) yields equilibrium prices. Substituting equilibrium prices into (A12) and (A13) yields equilibrium profits.

Case (c)

The solution of case (c) is symmetric to case (b).

Case (d)

If both firms offer A, consumers’ utility functions are given by:

$$ u_{i} \left( 0 \right) = \left( {1 - \alpha } \right)u^{A} + u^{B} - p_{0}^{B} - \tau x_{i} $$
(A16)
$$ u_{i} \left( 1 \right) = \left( {1 - \alpha } \right)u^{A} + u^{B} - p_{1}^{B} - \tau (1 - x_{i} ) $$
(A17)

The location of the indifferent consumer (for a given price) is obtained by solving:

$$ \left( {1 - \alpha } \right)u^{A} + u^{B} - p_{0}^{B} - \tau \hat{x} = \left( {1 - \alpha } \right)u^{A} + u^{B} - p_{1}^{B} - \tau \left( {1 - \hat{x}} \right) $$
(A18)

which yields:

$$ \hat{x} = \frac{1}{2} + \frac{{p_{1}^{B} - p_{0}^{B} }}{2\tau } $$
(A19)

Demand for firm 0 is then equal to \( \hat{x} \), while demand for 1 is equal to \( 1 - \hat{x} \). Profit functions are thus as follows:

$$ \varPi_{0} = \left( {\frac{1}{2} + \frac{{p_{1}^{B} - p_{0}^{B} }}{2\tau }} \right)\left( {p_{0}^{B} + \alpha u^{A} } \right) $$
(A20)
$$ \varPi_{1} = \left( {\frac{1}{2} + \frac{{p_{0}^{B} - p_{1}^{B} }}{2\tau }} \right)\left( {p_{1}^{B} + \alpha u^{A} } \right) $$
(A21)

As the two firms are symmetric, we need to consider the first-order condition of one firm only, say firm 0:

$$ \left( {\frac{1}{2} + \frac{{p_{1}^{B} - p_{0}^{B} }}{2\tau }} \right) - \frac{1}{2\tau }\left( {p_{0}^{B} + \alpha u^{A} } \right) = 0 $$
(A22)

Imposing symmetry (\( p_{1}^{B} = p_{0}^{B} \)) and solving equation (A22), we obtain equilibrium prices \( p_{1}^{B} = p_{0}^{B} = \tau - \alpha u^{A} \). Putting equilibrium prices into (A20) and (A21) yields the equilibrium profits.

1.2 Proof of Proposition 3

The proof is almost immediate. If \( k < \frac{1}{2}\tau - \left( {\tau - \frac{{u^{A} }}{3}} \right)\left( {\frac{1}{2} - \frac{{u^{A} }}{6\tau }} \right) \equiv \frac{{u^{A} }}{3} - \frac{{\left( {u^{A} } \right)^{2} }}{18\tau } \), OffA is the best response to OffA. If \( k > \left( {\tau - \frac{{u^{A} }}{3}} \right)\left( {\frac{1}{2} - \frac{{u^{A} }}{6\tau }} \right) - \frac{\tau }{2} \equiv \frac{{u^{A} }}{3} - \frac{{\left( {u^{A} } \right)^{2} }}{18\tau } \), NotOffA is the best response to NotOffA. If \( \frac{1}{2}\uptau - \left( {\uptau - \frac{{u^{A} }}{3}} \right)\left( {\frac{1}{2} - \frac{{u^{A} }}{{6\uptau}}} \right) < k < \left( {\uptau + \frac{{u^{A} }}{3}} \right)\left( {\frac{1}{2} + \frac{{u^{A} }}{{6\uptau}}} \right) - \frac{1}{2}\uptau \), OffA is the best response to NotOffA and vice versa, which leads to asymmetric equilibria. In asymmetric equilibrium, offering the add-on entails higher profit if \( k < \left( {\uptau + \frac{{u^{A} }}{3}} \right)\left( {\frac{1}{2} + \frac{{u^{A} }}{{6\uptau}}} \right) - \left( {\tau - \frac{{u^{A} }}{3}} \right)\left( {\frac{1}{2} - \frac{{u^{A} }}{{6\uptau}}} \right) \). This inequality is always satisfied in the asymmetric equilibria region since \( \left( {\uptau + \frac{{u^{A} }}{3}} \right)\left( {\frac{1}{2} + \frac{{u^{A} }}{{6\uptau}}} \right) - \frac{1}{2}\uptau \equiv \frac{{u^{A} }}{3} - \frac{{\left( {u^{A} } \right)^{2} }}{{18\uptau}} < \left( {\uptau + \frac{{u^{A} }}{3}} \right)\left( {\frac{1}{2} + \frac{{u^{A} }}{{6\uptau}}} \right) - \left( {\uptau - \frac{{u^{A} }}{3}} \right)\left( {\frac{1}{2} - \frac{{u^{A} }}{{6\uptau}}} \right) \equiv \frac{{2u^{A} }}{3} \).

Appendix B

See Table 4.

Table 4 Descriptive statistics

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Savioli, M., Zirulia, L. Does add-on presence always lead to lower baseline prices? Theory and evidence. J Econ 129, 143–172 (2020). https://doi.org/10.1007/s00712-019-00678-4

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