Efficient Non-Cooperative Provision of Costly Positive Externalities Via
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Competition and Efficiency of Coalitions in Cournot Games
1 Competition and Efficiency of Coalitions in Cournot Games with Uncertainty Baosen Zhang, Member, IEEE, Ramesh Johari, Member, IEEE, Ram Rajagopal, Member, IEEE, Abstract—We investigate the impact of coalition formation on Electricity markets serve as one motivating example of the efficiency of Cournot games where producers face uncertain- such an environment. In electricity markets, producers submit ties. In particular, we study a market model where firms must their bids before the targeted time of delivery (e.g., one day determine their output before an uncertain production capacity is realized. In contrast to standard Cournot models, we show that ahead). However, renewable resources such as wind and solar the game is not efficient when there are many small firms. Instead, have significant uncertainty (even on a day-ahead timescale). producers tend to act conservatively to hedge against their risks. As a result, producers face uncertainties about their actual We show that in the presence of uncertainty, the game becomes production capacity at the commitment stage. efficient when firms are allowed to take advantage of diversity Our paper focuses on a fundamental tradeoff revealed in to form groups of certain sizes. We characterize the tradeoff between market power and uncertainty reduction as a function such games. On one hand, in the classical Cournot model, of group size. In particular, we compare the welfare and output efficiency obtains as the number of individual firms approaches obtained with coalitional competition, with the same benchmarks infinity, as this weakens each firm’s market power (ability to when output is controlled by a single system operator. -
Journal of Mathematical Economics Implementation of Pareto Efficient Allocations
Journal of Mathematical Economics 45 (2009) 113–123 Contents lists available at ScienceDirect Journal of Mathematical Economics journal homepage: www.elsevier.com/locate/jmateco Implementation of Pareto efficient allocations Guoqiang Tian a,b,∗ a Department of Economics, Texas A&M University, College Station, TX 77843, USA b School of Economics and Institute for Advanced Research, Shanghai University of Finance and Economics, Shanghai 200433, China. article info abstract Article history: This paper considers Nash implementation and double implementation of Pareto effi- Received 10 October 2005 cient allocations for production economies. We allow production sets and preferences Received in revised form 17 July 2008 are unknown to the planner. We present a well-behaved mechanism that fully imple- Accepted 22 July 2008 ments Pareto efficient allocations in Nash equilibrium. The mechanism then is modified Available online 5 August 2008 to fully doubly implement Pareto efficient allocations in Nash and strong Nash equilibria. The mechanisms constructed in the paper have many nice properties such as feasibility JEL classification: C72 and continuity. In addition, they use finite-dimensional message spaces. Furthermore, the D61 mechanism works not only for three or more agents, but also for two-agent economies. D71 © 2008 Elsevier B.V. All rights reserved. D82 Keywords: Incentive mechanism design Implementation Pareto efficiency Price equilibrium with transfer 1. Introduction 1.1. Motivation This paper considers implementation of Pareto efficient allocations for production economies by presenting well-behaved and simple mechanisms that are continuous, feasible, and use finite-dimensional spaces. Pareto optimality is a highly desir- able property in designing incentive compatible mechanisms. The importance of this property is attributed to what may be regarded as minimal welfare property. -
Cartel Formation in Cournot Competition with Asymmetric Costs: a Partition Function Approach
games Article Cartel Formation in Cournot Competition with Asymmetric Costs: A Partition Function Approach Takaaki Abe School of Political Science and Economics, Waseda University, 1-6-1, Nishi-waseda, Shinjuku-ku, Tokyo 169-8050, Japan; [email protected] Abstract: In this paper, we use a partition function form game to analyze cartel formation among firms in Cournot competition. We assume that a firm obtains a certain cost advantage that allows it to produce goods at a lower unit cost. We show that if the level of the cost advantage is “moderate”, then the firm with the cost advantage leads the cartel formation among the firms. Moreover, if the cost advantage is relatively high, then the formed cartel can also be stable in the sense of the core of a partition function form game. We also show that if the technology for the low-cost production can be copied, then the cost advantage may prevent a cartel from splitting. Keywords: cartel formation; Cournot competition; partition function form game; stability JEL Classification: C71; L13 1. Introduction Many approaches have been proposed to analyze cartel formation. Ref. [1] first intro- duced a simple noncooperative game to study cartel formation among firms. As shown by the title of his paper, “A simple model of imperfect competition, where 4 are few and Citation: Abe, T. Cartel Formation in 6 are many”, this result suggests that cartel formation depends deeply on the number of Cournot Competition with firms in a market. Ref. [2] distinguished the issue of cartel stability from that of cartel Asymmetric Costs: A Partition formation. -
Arxiv:0803.2996V1 [Q-Fin.GN] 20 Mar 2008 JEL Classification: A10, A12, B0, B40, B50, C69, C9, D5, D1, G1, G10-G14
The virtues and vices of equilibrium and the future of financial economics J. Doyne Farmer∗ and John Geanakoplosy December 2, 2008 Abstract The use of equilibrium models in economics springs from the desire for parsimonious models of economic phenomena that take human rea- soning into account. This approach has been the cornerstone of modern economic theory. We explain why this is so, extolling the virtues of equilibrium theory; then we present a critique and describe why this approach is inherently limited, and why economics needs to move in new directions if it is to continue to make progress. We stress that this shouldn't be a question of dogma, but should be resolved empir- ically. There are situations where equilibrium models provide useful predictions and there are situations where they can never provide use- ful predictions. There are also many situations where the jury is still out, i.e., where so far they fail to provide a good description of the world, but where proper extensions might change this. Our goal is to convince the skeptics that equilibrium models can be useful, but also to make traditional economists more aware of the limitations of equilib- rium models. We sketch some alternative approaches and discuss why they should play an important role in future research in economics. Key words: equilibrium, rational expectations, efficiency, arbitrage, bounded rationality, power laws, disequilibrium, zero intelligence, mar- ket ecology, agent based modeling arXiv:0803.2996v1 [q-fin.GN] 20 Mar 2008 JEL Classification: A10, A12, B0, B40, B50, C69, C9, D5, D1, G1, G10-G14. ∗Santa Fe Institute, 1399 Hyde Park Rd., Santa Fe NM 87501 and LUISS Guido Carli, Viale Pola 12, 00198, Roma, Italy yJames Tobin Professor of Economics, Yale University, New Haven CT, and Santa Fe Institute 1 Contents 1 Introduction 4 2 What is an equilibrium theory? 5 2.1 Existence of equilibrium and fixed points . -
An Equilibrium-Conserving Taxation Scheme for Income from Capital
Eur. Phys. J. B (2018) 91: 38 https://doi.org/10.1140/epjb/e2018-80497-x THE EUROPEAN PHYSICAL JOURNAL B Regular Article An equilibrium-conserving taxation scheme for income from capital Jacques Temperea Theory of Quantum and Complex Systems, Universiteit Antwerpen, Universiteitsplein 1, 2610 Antwerpen, Belgium Received 28 August 2017 / Received in final form 23 November 2017 Published online 14 February 2018 c The Author(s) 2018. This article is published with open access at Springerlink.com Abstract. Under conditions of market equilibrium, the distribution of capital income follows a Pareto power law, with an exponent that characterizes the given equilibrium. Here, a simple taxation scheme is proposed such that the post-tax capital income distribution remains an equilibrium distribution, albeit with a different exponent. This taxation scheme is shown to be progressive, and its parameters can be simply derived from (i) the total amount of tax that will be levied, (ii) the threshold selected above which capital income will be taxed and (iii) the total amount of capital income. The latter can be obtained either by using Piketty's estimates of the capital/labor income ratio or by fitting the initial Pareto exponent. Both ways moreover provide a check on the amount of declared income from capital. 1 Introduction distribution of money over the agents involved in additive transactions follows a Boltzmann{Gibbs exponential dis- The distribution of income has been studied for a long tribution. Note that this is a strongly simplified model of time in the economic literature, and has more recently economic activity: it is clear that in reality global money become a topic of investigation for statistical physicists conservation is violated. -
Oligopolistic Competition
Lecture 3: Oligopolistic competition EC 105. Industrial Organization Mattt Shum HSS, California Institute of Technology EC 105. Industrial Organization (Mattt Shum HSS,Lecture California 3: Oligopolistic Institute of competition Technology) 1 / 38 Oligopoly Models Oligopoly: interaction among small number of firms Conflict of interest: Each firm maximizes its own profits, but... Firm j's actions affect firm i's profits PC: firms are small, so no single firm’s actions affect other firms’ profits Monopoly: only one firm EC 105. Industrial Organization (Mattt Shum HSS,Lecture California 3: Oligopolistic Institute of competition Technology) 2 / 38 Oligopoly Models Oligopoly: interaction among small number of firms Conflict of interest: Each firm maximizes its own profits, but... Firm j's actions affect firm i's profits PC: firms are small, so no single firm’s actions affect other firms’ profits Monopoly: only one firm EC 105. Industrial Organization (Mattt Shum HSS,Lecture California 3: Oligopolistic Institute of competition Technology) 2 / 38 Oligopoly Models Oligopoly: interaction among small number of firms Conflict of interest: Each firm maximizes its own profits, but... Firm j's actions affect firm i's profits PC: firms are small, so no single firm’s actions affect other firms’ profits Monopoly: only one firm EC 105. Industrial Organization (Mattt Shum HSS,Lecture California 3: Oligopolistic Institute of competition Technology) 2 / 38 Oligopoly Models Oligopoly: interaction among small number of firms Conflict of interest: Each firm maximizes its own profits, but... Firm j's actions affect firm i's profits PC: firms are small, so no single firm’s actions affect other firms’ profits Monopoly: only one firm EC 105. -
Answer Hints
HUL311 - APPLIED GAME THEORY MAJOR EXAMINATION (Nov 21, 2017), IITD SEM-I, AY 2017-18, Time Allowed: 2 Hours. (ANSWER ALL, Max marks=30) ANSWER HINTS Q1: Short Note [5 3 = 15 marks]. You must describe the problem and highlight its solu- × tion with possible realistic implications. (a) Inefficient trade and adverse selection. Your answer must contain (a) problem description (b) properly de- fined strategies of players (c) equilibrium solution and (d) realistic im- plications - e.g., application of `Lemon Market' in international trade, insurance (with healthy and unhealthy type), second hand car market, etc. (b) Cournot competition with cost uncertainty. Your answer must contain (a) problem description (b) properly de- fined strategies of players (q [0; )) (c) showing the best response i 2 1 function in graph with cH and cL and to show respective quantities and profits (d) realistic implications - e.g., credible cost/type revela- tion through advertersing, etc. (c) Effort choice in study groups. Your answer must contain (a) problem description (b) properly de- fined strategies of players (c) equilibrium solution and (d) realistic im- plications - e.g., voluntary contribution with type dependent donors - people donates beyond a cost threshold, jumping into the river to save a child - who will jump depend on cost threshold, etc. 1 Q2 [2:5 2 = 5 marks]. ∗ Consider two firms that play a Cournot competition game with demand p = 100 q; and costs 2 − for each firm given by ci(qi) = 10qi (it is known that, q = i=1 qi). Imagine that before the two firms play the Cournot game, firm 1 can invest in cost reduction.P If it invests, the costs of firm 1 will drop to c1(q1) = 5q1. -
Strong Nash Equilibria and Mixed Strategies
Strong Nash equilibria and mixed strategies Eleonora Braggiona, Nicola Gattib, Roberto Lucchettia, Tuomas Sandholmc aDipartimento di Matematica, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133 Milano, Italy bDipartimento di Elettronica, Informazione e Bioningegneria, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133 Milano, Italy cComputer Science Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA Abstract In this paper we consider strong Nash equilibria, in mixed strategies, for finite games. Any strong Nash equilibrium outcome is Pareto efficient for each coalition. First, we analyze the two–player setting. Our main result, in its simplest form, states that if a game has a strong Nash equilibrium with full support (that is, both players randomize among all pure strategies), then the game is strictly competitive. This means that all the outcomes of the game are Pareto efficient and lie on a straight line with negative slope. In order to get our result we use the indifference principle fulfilled by any Nash equilibrium, and the classical KKT conditions (in the vector setting), that are necessary conditions for Pareto efficiency. Our characterization enables us to design a strong–Nash– equilibrium–finding algorithm with complexity in Smoothed–P. So, this problem—that Conitzer and Sandholm [Conitzer, V., Sandholm, T., 2008. New complexity results about Nash equilibria. Games Econ. Behav. 63, 621–641] proved to be computationally hard in the worst case—is generically easy. Hence, although the worst case complexity of finding a strong Nash equilibrium is harder than that of finding a Nash equilibrium, once small perturbations are applied, finding a strong Nash is easier than finding a Nash equilibrium. -
Comparing Cournot and Bertrand Equilibria
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of Essex Research Repository Comparing Cournot and Bertrand Equilibria in a Differentiated Duopoly with Product R&D George Symeonidis University of Essex Abstract: This paper compares Bertrand and Cournot equilibria in a differentiated duopoly with substitute goods and product R&D. I find that R&D expenditure, prices and firms’ net profits are always higher under quantity competition than under price competition. Furthermore, output, consumer surplus and total welfare are higher in the Bertrand equilibrium than in the Cournot equilibrium if either R&D spillovers are weak or products are sufficiently differentiated. If R&D spillovers are strong and products are not too differentiated, then output, consumer surplus and total welfare are lower in the Bertrand case than in the Cournot case. Thus a key finding of the paper is that there are circumstances where quantity competition can be more beneficial than price competition both for consumers and for firms. Keywords: Product R&D, price versus quantity competition, welfare. JEL classification: L13, D43. Address for correspondence: Department of Economics, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, U.K. Phone: +44 1206 872511, fax: +44 1206 872724, e-mail: [email protected] 1. Introduction. The standard view that Bertrand competition is more efficient than Cournot competition has recently been challenged by a number of theoretical models. A common feature of these models is the idea that firms compete both in variables that can be easily changed in the short run, such as price or output, and in variables that constitute longer-term commitments, such as capacity or R&D expenditure. -
MS&E 246: Lecture 3 Pure Strategy Nash Equilibrium
MS&E 246: Lecture 3 Pure strategy Nash equilibrium Ramesh Johari January 16, 2007 Outline • Best response and pure strategy Nash equilibrium • Relation to other equilibrium notions • Examples • Bertrand competition Best response set Best response set for player n to s-n: R (s ) = arg max Π (s , s ) n -n sn ∈ Sn n n -n [ Note: arg maxx ∈ X f(x) is the set of x that maximize f(x) ] Nash equilibrium Given: N-player game A vector s = (s1, …, sN) is a (pure strategy) Nash equilibrium if: si ∈ Ri(s-i) for all players i. Each individual plays a best response to the others. Nash equilibrium Pure strategy Nash equilibrium is robust to unilateral deviations One of the hardest questions in game theory: How do players know to play a Nash equilibrium? Example: Prisoner’s dilemma Recall the routing game: AT&T near far near (-4,-4) (-1,-5) MCI far (-5,-1) (-2,-2) Example: Prisoner’s dilemma Here (near,near) is the unique (pure strategy) NE: AT&T near far near (-4,-4) (-1,-5) MCI far (-5,-1) (-2,-2) Summary of relationships Given a game: • Any DSE also survives ISD, and is a NE. (DSE = dominant strategy equilibrium; ISD = iterated strict dominance) Example: bidding game Recall the bidding game from lecture 1: Player 2’s bid $0 $1 $2 $3 $4 $0 $4.00 $4.00 $4.00 $4.00 $4.00 $1 $11.00 $7.00 $5.67 $5.00 $4.60 $2 $10.00 $7.33 $6.00 $5.20 $4.67 Player 1’s bid $3 $9.00 $7.00 $5.80 $5.00 $4.43 $4 $8.00 $6.40 $5.33 $4.57 $4.00 Example: bidding game Here (2,2) is the unique (pure strategy) NE: Player 2’s bid $0 $1 $2 $3 $4 $0 $4.00 $4.00 $4.00 $4.00 $4.00 $1 $11.00 $7.00 $5.67 $5.00 $4.60 $2 $10.00 $7.33 $6.00 $5.20 $4.67 Player 1’s bid $3 $9.00 $7.00 $5.80 $5.00 $4.43 $4 $8.00 $6.40 $5.33 $4.57 $4.00 Summary of relationships Given a game: • Any DSE also survives ISD, and is a NE. -
Egalitarianism in Mechanism Design∗
Egalitarianism in Mechanism Design∗ Geoffroy de Clippely This Version: January 2012 Abstract This paper examines ways to extend egalitarian notions of fairness to mechanism design. It is shown that the classic properties of con- strained efficiency and monotonicity with respect to feasible options become incompatible, even in quasi-linear settings. An interim egali- tarian criterion is defined and axiomatically characterized. It is applied to find \fair outcomes" in classical examples of mechanism design, such as cost sharing and bilateral trade. Combined with ex-ante utilitari- anism, the criterion characterizes Harsanyi and Selten's (1972) interim Nash product. Two alternative egalitarian criteria are proposed to il- lustrate how incomplete information creates room for debate as to what is socially desirable. ∗The paper beneficiated from insightful comments from Kfir Eliaz, Klaus Nehring, David Perez-Castrillo, Kareen Rozen, and David Wettstein. Financial support from the National Science Foundation (grant SES-0851210) is gratefully acknowledged. yDepartment of Economics, Brown University. Email: [email protected] 1. INTRODUCTION Developments in the theory of mechanism design, since its origin in the sev- enties, have greatly improved our understanding of what is feasible in envi- ronments involving agents that hold private information. Yet little effort has been devoted to the discussion of socially desirable selection criteria, and the computation of incentive compatible mechanisms meeting those criteria in ap- plications. In other words, extending the theory of social choice so as to make it applicable in mechanism design remains a challenging topic to be studied. The present paper makes some progress in that direction, with a focus on the egalitarian principle. -
Nash Equilibrium
Nash Equilibrium u A game consists of – a set of players – a set of strategies for each player – A mapping from set of strategies to a set of payoffs, one for each player N.E.: A Set of strategies form a NE if, for player i, the strategy chosen by i maximises i’s payoff, given the strategies chosen by all other players u NE is the set of strategies from which no player has an incentive to unilaterally deviate u NE is the central concept of non- cooperative game theory I.e. situtations in which binding agreements are not possible Example Player 2 C D C (10,10) (0,20) This is the Player 1 game’s D (20,0) (1,1) payoff matrix. Player A’s payoff is shown first. Player B’s payoff is shown second. NE: (DD) = (1,1) Another Example…. Player B L R U (3,9) (1,8) Player A D (0,0) (2,1) Two Nash equilibria: (U,L) = (3,9) (D,R) = (2,1) Applying the NE Concept Modelling Short Run ‘Conduct’ Bertrand Competition Cournot Competition [Building blocks in modeling the intensity of competition in an industry in the short run] p pmonop P(N))? C N Bertrand Price Competition u What if firms compete using only price-setting strategies,? u Games in which firms use only price strategies and play simultaneously are Bertrand games. Bertrand Games (1883) 1. 2 players, firms i and j 2. Bertrand Strategy - All firms simultaneously set their prices. 3. Homogenous product 4. Perfect Information 5. Each firm’s marginal production cost is constant at c.