Dynamic Oligopoly with Network Effects*
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NETWORK EFFECTS Welfare Even Though No Explicit Compensation Accounts for This
From the book Networks, Crowds, and Markets: Reasoning about a Highly Connected World. By David Easley and Jon Kleinberg. Cambridge University Press, 2010. Complete preprint on-line at http://www.cs.cornell.edu/home/kleinber/networks-book/ Chapter 17 Network Effects At the beginning of Chapter 16, we discussed two fundamentally different reasons why individuals might imitate the behavior of others. One reason was based on informational effects: since the behavior of other people conveys information about what they know, observ- ing this behavior and copying it (even against the evidence of one’s own private information) can sometimes be a rational decision. This was our focus in Chapter 16. The other reason was based on direct-benefit effects, also called network effects: for some kinds of decisions, you incur an explicit benefit when you align your behavior with the behavior of others. This is what we will consider in this chapter. A natural setting where network effects arise is in the adoption of technologies for which interaction or compatibility with others is important. For example, when the fax machine was first introduced as a product, its value to a potential consumer depended on how many others were also using the same technology. The value of a social-networking or media- sharing site exhibits the same properties: it’s valuable to the extent that other people are using it as well. Similarly, a computer operating system can be more useful if many other people are using it: even if the primary purpose of the operating system itself is not to interact with others, an operating system with more users will tend to have a larger amount of software written for it, and will use file formats (e.g. -
Network Economics, Transaction Costs, and Dynamic Competition
Network Economics, Vertical Integration, and Regulation Howard Shelanski May 2012 1 New Institutional Economics Key concern is governance of transactions, not price and output. Unit of analysis is the transaction Key question: why a transaction is (or should be) organized or mediated by one institution as opposed to another: Markets vs “hierarchies” E.g., a firm’s make or buy decision: why does a firm buy some things and make others? 2 Origins Ronald Coase Key lessons Property Rights/Default Rules and Transaction Costs Matter Facts and Institutions Matter Oliver Williamson Institutions have differing competencies for governing transactions in the presence of transaction costs 3 Key Assumptions of the New Institutional Economics Bounded rationality: economic actors intend to be rational but are only limitedly so. Opportunism: economic actors will expect others to act opportunistically and seek mechanisms (institutions) to protect themselves from hold-up. Asset specificity: Specific investment is the key variable that allows opportunism and drives firms from markets toward hierarchical institutions. 4 The “Coase Theorum” Pollution example: a plant pollutes and imposes costs on a nearby farm. To what extent should the plant be allowed to pollute or the farmer be allowed to keep farming? theorum version 1: As long as both parties are free to bargain, the final amount of pollution not depend on the initial allocation of property rights. theorum version 2: when transactions costs exist, the final amount of pollution depends on the initial allocation of property rights. 5 Lessons and Policy Implications Institutions arise to economize on transaction costs. Sometimes private bargaining is best, at other times other institutions are more efficient. -
Platform Envelopment Working Paper
Platform Envelopment Thomas Eisenmann Geoffrey Parker Marshall Van Alstyne Working Paper 07-104 Copyright © 2007, 2008, 2009, 2010 by Thomas Eisenmann, Geoffrey Parker, and Marshall Van Alstyne Working papers are in draft form. This working paper is distributed for purposes of comment and discussion only. It may not be reproduced without permission of the copyright holder. Copies of working papers are available from the author. Platform Envelopment Thomas Eisenmann, Geoffrey Parker, Marshall Van Alstyne Revised, July 27 2010 ABSTRACT Due to network effects and switching costs in platform markets, entrants generally must offer revolutionary functionality. We explore a second entry path that does not rely upon Schumpeterian innovation: platform envelopment. Through envelopment, a provider in one platform market can enter another platform market, combining its own functionality with the target’s in a multi-platform bundle that leverages shared user relationships. We build upon the traditional view of bundling for economies of scope and price discrimination and extend this view to include the strategic management of a firm's user network. Envelopers capture share by foreclosing an incumbent’s access to users; in doing so, they harness the network effects that previously had protected the incumbent. We present a typology of envelopment attacks based on whether platform pairs are complements, weak substitutes or functionally unrelated, and we analyze conditions under which these attack types are likely to succeed. Keywords: Market entry, platforms, network effects, bundling, foreclosure Acknowledgements: Funding from NSF grant SES-0925004 is gratefully acknowledged. Thomas Eisenmann Geoffrey Parker Marshall Van Alstyne Professor Associate Professor Associate Professor Harvard Business School Freeman School of Business Boston University SMG Rock Center 218 Tulane University 595 Commonwealth Ave. -
Unemployment in an Extended Cournot Oligopoly Model∗
Unemployment in an Extended Cournot Oligopoly Model∗ Claude d'Aspremont,y Rodolphe Dos Santos Ferreiraz and Louis-Andr´eG´erard-Varetx 1 Introduction Attempts to explain unemployment1 begin with the labour market. Yet, by attributing it to deficient demand for goods, Keynes questioned the use of partial analysis, and stressed the need to consider interactions between the labour and product markets. Imperfect competition in the labour market, reflecting union power, has been a favoured explanation; but imperfect competition may also affect employment through producers' oligopolistic behaviour. This again points to a general equilibrium approach such as that by Negishi (1961, 1979). Here we propose an extension of the Cournot oligopoly model (unlike that of Gabszewicz and Vial (1972), where labour does not appear), which takes full account of the interdependence between the labour market and any product market. Our extension shares some features with both Negishi's conjectural approach to demand curves, and macroeconomic non-Walrasian equi- ∗Reprinted from Oxford Economic Papers, 41, 490-505, 1989. We thank P. Champsaur, P. Dehez, J.H. Dr`ezeand J.-J. Laffont for helpful comments. We owe P. Dehez the idea of a light strengthening of the results on involuntary unemployment given in a related paper (CORE D.P. 8408): see Dehez (1985), where the case of monopoly is studied. Acknowledgements are also due to Peter Sinclair and the Referees for valuable suggestions. This work is part of the program \Micro-d´ecisionset politique ´economique"of Commissariat G´en´eral au Plan. Financial support of Commissariat G´en´eralau Plan is gratefully acknowledged. -
Critical Mass and Network Evolution in Telecommunications
Forthcoming in Toward a Competitive Telecommunications Industry: Selected Papers from the 1994 Telecommunications Policy Research Conference, Gerard Brock (ed.), 1995. Critical Mass and Network Evolution in Telecommunications by Nicholas Economides and Charles Himmelberg December 1994 Abstract Network goods exhibit positive consumption externalities, commonly known as "network externalities." In markets, this fact can give rise to the existence of a critical mass point, that is, a minimum network size that can be sustained in equilibrium, given the cost and market structure of the industry. In this paper, we describe the conditions under which a critical mass point exists for a network good. We also characterize the existence of critical mass points under various market structures. Surprisingly, neither existence nor the size of the minimum feasible network depends on market structure. Thus, even though a monopolist enjoys an additional degree of freedom through its influence over expectations, and even though monopolistic and oligopolistic markets will in general provide a smaller sized network than perfect competition, the critical mass point is nonetheless the same. We extend these results by making the model dynamic and by generalizing it to allow durable goods. Introducing network externalities to a dynamic model of market growth increases the speed at which market demand grows in the presence of a downward time trend for industry marginal cost. We use this prediction to calibrate the model and obtain estimates of the parameter measuring a consumer’s valuation of the installed base (i.e., the network effect) using aggregate time series data on prices and quantities in the US fax market. -
Network Effects on Tweeting
Network Effects on Tweeting Jake T. Lussier and Nitesh V. Chawla Interdisciplinary Center for Network Science and Applications (iCeNSA), University of Notre Dame, Notre Dame, IN 46556, USA {jlussier,nchawla}@nd.edu http://www.nd.edu/∼(jlussier,nchawla)/ Abstract. Online social networks (OSNs) have created new and exciting ways to connect and share information. Perhaps no site has had a more profound effect on information exchange than Twitter.com. In this pa- per, we study large-scale graph properties and lesser-studied local graph structures of the explicit social network and the implicit retweet network in order to better understand the relationship between socialization and tweeting behaviors. In particular, we first explore the interplay between the social network and user tweet topics and offer evidence that suggests that users who are close in the social graph tend to tweet about simi- lar topics. We then analyze the implicit retweet network and find highly unreciprocal links and unbalanced triads. We also explain the effects of these structural patterns on information diffusion by analyzing and vi- sualizing how URLs tend to be tweeted and retweeted. Finally, given our analyses of the social network and the retweet network, we provide some insights into the relationships between these two networks. Keywords: Data mining, social networks, information diffusion. 1 Introduction A microblogging service launched in 2006, Twitter.com has since grown into one of the most popular OSNs on the web and one of the most prominent technologi- cal influences on modern society. Twitter is not only an environment for social tie formation, but also for information exchange and dissemination. -
Chapter 16 Oligopoly and Game Theory Oligopoly Oligopoly
Chapter 16 “Game theory is the study of how people Oligopoly behave in strategic situations. By ‘strategic’ we mean a situation in which each person, when deciding what actions to take, must and consider how others might respond to that action.” Game Theory Oligopoly Oligopoly • “Oligopoly is a market structure in which only a few • “Figuring out the environment” when there are sellers offer similar or identical products.” rival firms in your market, means guessing (or • As we saw last time, oligopoly differs from the two ‘ideal’ inferring) what the rivals are doing and then cases, perfect competition and monopoly. choosing a “best response” • In the ‘ideal’ cases, the firm just has to figure out the environment (prices for the perfectly competitive firm, • This means that firms in oligopoly markets are demand curve for the monopolist) and select output to playing a ‘game’ against each other. maximize profits • To understand how they might act, we need to • An oligopolist, on the other hand, also has to figure out the understand how players play games. environment before computing the best output. • This is the role of Game Theory. Some Concepts We Will Use Strategies • Strategies • Strategies are the choices that a player is allowed • Payoffs to make. • Sequential Games •Examples: • Simultaneous Games – In game trees (sequential games), the players choose paths or branches from roots or nodes. • Best Responses – In matrix games players choose rows or columns • Equilibrium – In market games, players choose prices, or quantities, • Dominated strategies or R and D levels. • Dominant Strategies. – In Blackjack, players choose whether to stay or draw. -
An Overview of Social Networks and Economic Applications∗
An Overview of Social Networks and Economic Applications∗ Matthew O. Jackson† Final Version: June 25, 2010 Written for the Handbook of Social Economics‡ Abstract In this chapter I provide an overview of research on social networks and their role in shaping behavior and economic outcomes. I include discussion of empirical and the- oretical analyses of the role of social networks in markets and exchange, learning and diffusion, and network games. I also include some background on social network char- acteristics and measurements, models of network formation, models for the statistical analysis of social networks, as well as community detection. Keywords: Social Networks, Network Games, Graphical Games, Games on Net- works, Diffusion, Learning, Network Formation, Community Detection, JEL Classification Codes: D85, C72, L14, Z13 1 Introduction The people with whom we interact on a regular basis, and even some with whom we in- teract only sporadically, influence our beliefs, decisions and behaviors. Examples of the effects of social networks on economic activity are abundant and pervasive, including roles in transmitting information about jobs, new products, technologies, and political opinions. ∗Financial support from the NSF under grant SES–0647867 is gratefully acknowledged. Thank you to Matthew Elliott, Carlos Lever, and Yves Zenou for comments on earlier drafts. †Department of Economics, Stanford University, Stanford CA 94305, USA. http://www.stanford.edu/∼jacksonm e-mail: [email protected] ‡Edited by Jess Benhabib, Alberto Bisin, and Matthew O. Jackson, forthcoming, Elsevier Press. 1 They also serve as channels for informal insurance and risk sharing, and network structure influences patterns of decisions regarding education, career, hobbies, criminal activity, and even participation in micro-finance. -
Network Effects, Trade, and Productivity
Preprint, forthcoming on Managerial and Decision Economics ∗ Network Effects, Trade, and Productivity Tianle Song† and Susheng Wang‡ April, 2019 Abstract: We consider network effects in the monopolistically competitive model of trade devel- oped by Melitz and Ottaviano (2008). We show that a larger network effect intensifies competition by allowing more productive firms to raise prices and earn higher profits, but forcing less productive firms to reduce prices and earn lower profits. As a result, low productivity firms are driven out of the market. We also show that when network effects are asymmetric, it may be difficult for firms from a country with a small network effect to compete with firms from a country with a large network effect. Keywords: network effects, heterogeneous firms, international trade, productivity JEL classification: F10, F12 ∗ We thank the editor and an anonymous referee for their constructive and insightful feedback. † Corresponding author. Institute for Social and Economic Research, Nanjing Audit University. Email: tsong @connect.ust.hk. ‡ Department of Economics, Hong Kong University of Science and Technology. Email: [email protected]. 1. Introduction A network effect is a positive effect that arises when the value of a product or service to a user in- creases with the total number of users. Many products, especially telecommunication products and consumer electronics, feature network effects. As an example, the consumer utility of using a tele- phone increases directly with the size of the communication network. Consumer benefits can also depend indirectly on the size of the network. For instance, the users of Macintosh computers are better off when there are more users, because the increased demand may lead to a greater variety of Macintosh software (Church et al. -
A Supergame-Theoretic Model of Business Cycles and Price Wars During Booms
working paper department of economics A SUPERGAME-THEORETIC MODEL OF BUSINESS CYCLES AND PRICE WARS DURING BOOMS Julio J. Rotemberg and Garth Saloner* M.I.T. Working Paper #349 July 1984 massachusetts institute of technology 50 memorial drive Cambridge, mass. 021 39 Digitized by the Internet Archive in 2011 with funding from IVIIT Libraries http://www.archive.org/details/supergametheoret349rote model of 'a supergame-theoretic BUSINESS CYCLES AOT) PRICE WARS DURING BOOMS Julio J. Rotemberg and Garth Saloner* ' M.I.T. Working Paper #349 July 1984 ^^ ""' and Department of Economics --P^^^i^J^' *Slo.n ;-..>>ool of Management Lawrence summers -^.any^helpful^^ .ei;ix;teful to ^ames.Poterba and ^^^^^^^ from the Mationax do conversations, Financial support is gratefully acknowledged.^ SEt8209266 and SES-8308782 respectively) 12 ABSTRACT This paper studies implicitly colluding oligopolists facing fluctuating demand. The credible threat of future punishments provides the discipline that facilitates collusion. However, we find that the temptation to unilaterally deviate from the collusive outcome is often greater when demand is high. To moderate this temptation, the optimizing oligopoly reduces its profitability at such times, resulting in lower prices. If the oligopolists' output is an input to other sectors, their output may increase too. This explains the co-movements of outputs which characterize business cycles. The behavior of the railroads in the 1880' s, the automobile industry in the 1950's and the cyclical behavior of cement prices and price-cost margins support our theory. (j.E.L. Classification numbers: 020, 130, 610). I. INTRODUCTION This paper has two objectives. First it is an exploration of the way in which oligopolies behave over the business cycle. -
GEORGE J. STIGLER Graduate School of Business, University of Chicago, 1101 East 58Th Street, Chicago, Ill
THE PROCESS AND PROGRESS OF ECONOMICS Nobel Memorial Lecture, 8 December, 1982 by GEORGE J. STIGLER Graduate School of Business, University of Chicago, 1101 East 58th Street, Chicago, Ill. 60637, USA In the work on the economics of information which I began twenty some years ago, I started with an example: how does one find the seller of automobiles who is offering a given model at the lowest price? Does it pay to search more, the more frequently one purchases an automobile, and does it ever pay to search out a large number of potential sellers? The study of the search for trading partners and prices and qualities has now been deepened and widened by the work of scores of skilled economic theorists. I propose on this occasion to address the same kinds of questions to an entirely different market: the market for new ideas in economic science. Most economists enter this market in new ideas, let me emphasize, in order to obtain ideas and methods for the applications they are making of economics to the thousand problems with which they are occupied: these economists are not the suppliers of new ideas but only demanders. Their problem is comparable to that of the automobile buyer: to find a reliable vehicle. Indeed, they usually end up by buying a used, and therefore tested, idea. Those economists who seek to engage in research on the new ideas of the science - to refute or confirm or develop or displace them - are in a sense both buyers and sellers of new ideas. They seek to develop new ideas and persuade the science to accept them, but they also are following clues and promises and explorations in the current or preceding ideas of the science. -
Breaking the Mould: an Institutionalist Political Economy Alternative to the Neoliberal Theory of the Market and the State Ha-Joon Chang, May 2001
Breaking the Mould An Institutionalist Political Economy Alternative to the Neoliberal Theory of the Market and the State Ha-Joon Chang Social Policy and Development United Nations Programme Paper Number 6 Research Institute May 2001 for Social Development The United Nations Research Institute for Social Development (UNRISD) thanks the governments of Denmark, Finland, Mexico, the Netherlands, Norway, Sweden, Switzerland and the United Kingdom for their core funding. Copyright © UNRISD. Short extracts from this publication may be reproduced unaltered without authorization on condition that the source is indicated. For rights of reproduction or translation, application should be made to UNRISD, Palais des Nations, 1211 Geneva 10, Switzerland. UNRISD welcomes such applications. The designations employed in UNRISD publications, which are in conformity with United Nations practice, and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of UNRISD con- cerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The responsibility for opinions expressed rests solely with the author(s), and publication does not constitute endorse- ment by UNRISD. ISSN 1020-8208 Contents Acronyms ii Acknowledgements ii Summary/Résumé/Resumen iii Summary iii Résumé iv Resumen v 1. Introduction 1 2. The Evolution of the Debate: From “Golden Age Economics” to Neoliberalism 1 3. The Limits of Neoliberal Analysis of the Role of the State 3 3.1 Defining the free market (and state intervention) 4 3.2 Defining market failure 6 3.3 The market primacy assumption 8 3.4 Market, state and politics 11 4.