The industrial organisation literature typically assumes ex-ante utility functions to quantify the network effects of the various industries it models. In this book we present a simple analytical model which uses an explicit graph-theoretic modelling to simulate these network effects. The network effects it describes are fairly general since they are a mix of pure network effects — being able to link to more agents — and of potential cost-reductions stemming from decreasing marginal costs of the network infrastructure. The model can be applied to a variety of situations, such as telecommunication networks, the current Central Security Depositories network of cross-border links, or, alternatively, its associated custodian network. We derive close-forms of a (quadratic) network effect from the model. In particular it allows to quantify the advantage of a given individual to join a given network, and to split up analytically the various benefits expected from the network. We derive closed-form formulas in the case of homogeneous network and present the algorithms needed for Monte-Carlo simulations for the non-homogeneous case.
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Fabien Mercier has a PhD in Economics from the University Paris-Panthéon Assas, and a PhD in pure mathematics (graph theory) at Pierre et Marie-Curie. He has been economist at the European Central Bank and an analyst at the Organisation for Economic Co-Operation and Development.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The industrial organisation literature typically assumes ex-ante utility functions to quantify the network effects of the various industries it models. In this book we present a simple analytical model which uses an explicit graph-theoretic modelling to simulate these network effects. The network effects it describes are fairly general since they are a mix of pure network effects - being able to link to more agents - and of potential cost-reductions stemming from decreasing marginal costs of the network infrastructure. The model can be applied to a variety of situations, such as telecommunication networks, the current Central Security Depositories network of cross-border links, or, alternatively, its associated custodian network. We derive close-forms of a (quadratic) network effect from the model. In particular it allows to quantify the advantage of a given individual to join a given network, and to split up analytically the various benefits expected from the network. We derive closed-form formulas in the case of homogeneous network and present the algorithms needed for Monte-Carlo simulations for the non-homogeneous case. 68 pp. Englisch. Nº de ref. del artículo: 9786202010245
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The industrial organisation literature typically assumes ex-ante utility functions to quantify the network effects of the various industries it models. In this book we present a simple analytical model which uses an explicit graph-theoretic modelling to simulate these network effects. The network effects it describes are fairly general since they are a mix of pure network effects - being able to link to more agents - and of potential cost-reductions stemming from decreasing marginal costs of the network infrastructure. The model can be applied to a variety of situations, such as telecommunication networks, the current Central Security Depositories network of cross-border links, or, alternatively, its associated custodian network. We derive close-forms of a (quadratic) network effect from the model. In particular it allows to quantify the advantage of a given individual to join a given network, and to split up analytically the various benefits expected from the network. We derive closed-form formulas in the case of homogeneous network and present the algorithms needed for Monte-Carlo simulations for the non-homogeneous case. Nº de ref. del artículo: 9786202010245
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock. Nº de ref. del artículo: zk620201024X
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Librería: moluna, Greven, Alemania
Condición: New. Nº de ref. del artículo: 160418279
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The industrial organisation literature typically assumes ex-ante utility functions to quantify the network effects of the various industries it models. In this book we present a simple analytical model which uses an explicit graph-theoretic modelling to simulate these network effects. The network effects it describes are fairly general since they are a mix of pure network effects - being able to link to more agents - and of potential cost-reductions stemming from decreasing marginal costs of the network infrastructure. The model can be applied to a variety of situations, such as telecommunication networks, the current Central Security Depositories network of cross-border links, or, alternatively, its associated custodian network. We derive close-forms of a (quadratic) network effect from the model. In particular it allows to quantify the advantage of a given individual to join a given network, and to split up analytically the various benefits expected from the network. We derive closed-form formulas in the case of homogeneous network and present the algorithms needed for Monte-Carlo simulations for the non-homogeneous case.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Nº de ref. del artículo: 9786202010245
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Microfoundations of the Network Effect | Fabien Mercier | Taschenbuch | 68 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202010245 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 109620814
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