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A dynamic marketing model with best reply and inertia. (English) Zbl 1354.91097

Summary: In this paper we consider a nonlinear discrete-time dynamic model proposed by P. Farris et al. [“Why is five a crowd in the market share attraction model: the dynamic stability of competition”, J. Res. Manage 1, No. 1, 29–45 (2005; doi:10.2139/ssrn.282535)] as a market share attraction model with two firms that decide marketing efforts over time according to best reply strategies with naïve expectations. The model also considers an adaptive adjustment toward best reply, a form of inertia or anchoring attitude, and we investigate the effects of heterogeneities among firms. A rich scenario of local and global bifurcations is obtained even with just two competing firms, and a comparison is proposed with apparently similar duopoly models based on repeated best reply dynamics with naïve expectations and adaptive adjustment.

MSC:

91B55 Economic dynamics
37N40 Dynamical systems in optimization and economics
37M05 Simulation of dynamical systems

References:

[1] Agliari, A., Homoclinic connections and subcritical Neimark bifurcation in a duopoly model with adaptively adjusted productions, Chaos Solitons Fractals, 29, 739-755 (2006) · Zbl 1142.91649
[2] Agliari, A.; Gardini, L.; Puu, T., Global bifurcations in duopoly when the Cournot point is destabilized via a subcritical Neimark bifurcation, Int Game Theory Rev, 8, 1-20 (2006) · Zbl 1138.91399
[3] Bell, D. E.; Keeney, R. L.; Little, J. D.C, A market share theorem, J Market Res, 120, 136-141 (1975)
[4] Bischi, G. I.; Gardini, L.; Kopel, M., Analysis of global bifurcations in a market share attraction model, J Econ Dyn Control, 24, 855-879 (2000) · Zbl 0948.91033
[5] Bischi, G. I.; Mammana, C.; Gardini, L., Multistability and cyclic attractors in duopoly games, Chaos Solitons Fractals, 11, 543-564 (2000) · Zbl 0960.91017
[6] Bischi, G. I.; Kopel, M., Equilibrium selection in a nonlinear duopoly game with adaptive expectations, J Econ Behav Organ, 46, 73-100 (2001)
[7] Bischi, G. I.; Chiarella, C.; Kopel, M.; Szidarovszky, F., Nonlinear oligopolies: stability and bifurcations (2010), Springer-Verlag · Zbl 1182.91001
[8] Bischi, G. I.; Cerboni Baiardi, L., Fallacies of composition in nonlinear marketing models, Commun Nonlinear Sci Numer Simul, 20, 209-228 (2015) · Zbl 1304.91159
[9] Carpenter, G. S.; Cooper, L. G.; Hanssens, D. M.; Midgley, D. F., Modeling asymmetric competition, Market Sci, 7, 393-412 (1988)
[10] Cooper, L. G.; Nakanishi, M., Market-share analysis (1988), Kluwer Academic Publishers
[12] Elaydi, S. N., An introduction to difference equations (1995), Springer: Springer New York · Zbl 0826.11030
[13] Farris, P.; Pfeifer, P. E.; Nierop, E.; Reibstein, D., When five is a crowd in the market share attraction model: the dynamic stability of competition, J Res Manage, 1, 29-45 (2005)
[14] Gandolfo, G., Economic dynamics (2010), Springer-Verlag · Zbl 1177.91094
[15] Grebogi, C.; Ott, E.; Yorke, J. A., Chaotic attractors in crisis, Phys Rev Lett, 48, 1507-1513 (1982)
[16] Gumowski, I.; Mira, C., Dynamique chaotique (1980), Cepadues Editions: Cepadues Editions Toulose · Zbl 0442.93001
[17] Kopel, M., Simple and complex adjustment dynamics in Cournot duopoly models, Chaos Solitons Fractals, 7, 2031-2048 (1996) · Zbl 1080.91541
[18] Medio, A.; Lines, M., Nonlinear dynamics (2001), Cambridge University Press · Zbl 1008.37001
[19] Mira, C.; Gardini, L.; Barugola, A.; Cathala, J. C., Chaotic dynamics in two-dimensional noninvertible maps (1996), World Scientific: World Scientific Singapore · Zbl 0906.58027
[20] Puu, T., Chaos in duopoly pricing, Chaos Solitons Fractals, 1, 573-581 (1991) · Zbl 0754.90015
[21] VI, S., Equations of the third degree, A course of higher mathematics, I, 491-497 (1964), Pergamon Press
[22] Puu, T., Attractors, bifurcations and chaos (2003), Springer · Zbl 1026.91001
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