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An optimal advertising model with carryover effect and mean field terms

Author

Listed:
  • Fausto Gozzi

    (Università LUISS - Guido Carli)

  • Federica Masiero

    (Università di Milano Bicocca)

  • Mauro Rosestolato

    (Università di Genova)

Abstract

We consider a class of optimal advertising problems under uncertainty for the introduction of a new product into the market, on the line of the seminal papers of Vidale and Wolfe (Oper Res 5:370–381, 1957) and Nerlove and Arrow (Economica 29:129–142, 1962). The main features of our model are that, on one side, we assume a carryover effect (i.e. the advertisement spending affects the goodwill with some delay); on the other side we introduce, in the state equation and in the objective, some mean field terms that take into account the presence of other agents. We take the point of view of a planner who optimizes the average profit of all agents, hence we fall into the family of the so-called “Mean Field Control” problems. The simultaneous presence of the carryover effect makes the problem infinite dimensional hence belonging to a family of problems which are very difficult in general and whose study started only very recently, see Cosso et al. [Ann Appl Probab 33(4):2863–2918, 2023]. Here we consider, as a first step, a simple version of the problem providing the solutions in a simple case through a suitable auxiliary problem.

Suggested Citation

  • Fausto Gozzi & Federica Masiero & Mauro Rosestolato, 2024. "An optimal advertising model with carryover effect and mean field terms," Mathematics and Financial Economics, Springer, volume 18, number 9, October.
  • Handle: RePEc:spr:mathfi:v:18:y:2024:i:2:d:10.1007_s11579-024-00361-3
    DOI: 10.1007/s11579-024-00361-3
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    References listed on IDEAS

    as
    1. F. Gozzi & C. Marinelli & S. Savin, 2009. "On Controlled Linear Diffusions with Delay in a Model of Optimal Advertising under Uncertainty with Memory Effects," Journal of Optimization Theory and Applications, Springer, vol. 142(2), pages 291-321, August.
    2. A. Prasad & S. P. Sethi, 2004. "Competitive Advertising Under Uncertainty: A Stochastic Differential Game Approach," Journal of Optimization Theory and Applications, Springer, vol. 123(1), pages 163-185, October.
    3. Fabbri Giorgio, 2017. "Stochastic optimal control in infinite dimension with non-regular value function via dynamic programming," Post-Print hal-02095008, HAL.
    4. Luca Grosset & Bruno Viscolani, 2004. "Advertising for a new product introduction: A stochastic approach," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(1), pages 149-167, June.
    5. Gustav Feichtinger & Richard F. Hartl & Suresh P. Sethi, 1994. "Dynamic Optimal Control Models in Advertising: Recent Developments," Management Science, INFORMS, vol. 40(2), pages 195-226, February.
    6. Giorgio Fabbri & Fausto Gozzi & Andrzej Swiech, 2017. "Stochastic Optimal Control in Infinite Dimensions - Dynamic Programming and HJB Equations," Post-Print hal-01505767, HAL.
    7. Marinelli, Carlo, 2007. "The stochastic goodwill problem," European Journal of Operational Research, Elsevier, vol. 176(1), pages 389-404, January.
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    More about this item

    Keywords

    Mean field control problems; Optimal advertising models; Delay in the control; Infinite dimensional reformulation;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games

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