The Dynamic Limit Pricing Model with Uncertain Entry
Author: Hiroyasu Akakabe
Publisher:
Published: 1991
Total Pages: 8
ISBN-13:
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Author: Hiroyasu Akakabe
Publisher:
Published: 1991
Total Pages: 8
ISBN-13:
DOWNLOAD EBOOKAuthor: Garth Saloner
Publisher:
Published: 1984
Total Pages: 36
ISBN-13:
DOWNLOAD EBOOKAuthor: R. R. de Bondt
Publisher:
Published: 1974
Total Pages: 11
ISBN-13:
DOWNLOAD EBOOKAuthor: John B. (John Blackwell) Chilton
Publisher: London : Department of Economics, University of Western Ontario
Published: 1983
Total Pages: 23
ISBN-13: 9780771404023
DOWNLOAD EBOOKAuthor: Ana Rosado Cubero
Publisher: Routledge
Published: 2015-09-30
Total Pages: 245
ISBN-13: 1317315960
DOWNLOAD EBOOKFocuses on the different methods that economic science has employed in order to detect and measure barriers to entry. This book presents a chronological analysis of competing Harvard and Chicago Schools' interpretations of this phenomenon.
Author: Michael Ralph Caputo
Publisher: Cambridge University Press
Published: 2005-01-17
Total Pages: 596
ISBN-13: 9780521603683
DOWNLOAD EBOOKFoundations of Dynamic Economic Analysis presents a modern and thorough exposition of the fundamental mathematical formalism used to study optimal control theory, i.e., continuous time dynamic economic processes, and to interpret dynamic economic behavior. The style of presentation, with its continual emphasis on the economic interpretation of mathematics and models, distinguishes it from several other excellent texts on the subject. This approach is aided dramatically by introducing the dynamic envelope theorem and the method of comparative dynamics early in the exposition. Accordingly, motivated and economically revealing proofs of the transversality conditions come about by use of the dynamic envelope theorem. Furthermore, such sequencing of the material naturally leads to the development of the primal-dual method of comparative dynamics and dynamic duality theory, two modern approaches used to tease out the empirical content of optimal control models. The stylistic approach ultimately draws attention to the empirical richness of optimal control theory, a feature missing in virtually all other textbooks of this type.
Author: J.K. Sengupta
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 295
ISBN-13: 3642701639
DOWNLOAD EBOOKUnderstanding the stochastic enviornment is as much important to the manager as to the economist. From production and marketing to financial management, a manager has to assess various costs imposed by uncertainty. The economist analyzes the role of incomplete and too often imperfect information structures on the optimal decisions made by a firm. The need for understanding the role of uncertainty in quantitative decision models, both in economics and management science provide the basic motivation of this monograph. The stochastic environment is analyzed here in terms of the following specific models of optimization: linear and quadratic models, linear programming, control theory and dynamic programming. Uncertainty is introduced here through the para meters, the constraints, and the objective function and its impact evaluated. Specifically recent developments in applied research are emphasized, so that they can help the decision-maker arrive at a solution which has some desirable charac teristics like robustness, stability and cautiousness. Mathematical treatment is kept at a fairly elementary level and applied as pects are emphasized much more than theory. Moreover, an attempt is made to in corporate the economic theory of uncertainty into the stochastic theory of opera tions research. Methods of optimal decision rules illustrated he re are applicable in three broad areas: (a) applied economic models in resource allocation and economic planning, (b) operations research models involving portfolio analysis and stochastic linear programming and (c) systems science models in stochastic control and adaptive behavior.
Author: Tamer Başar
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 299
ISBN-13: 3642616364
DOWNLOAD EBOOKThis volume contains eleven articles which deal with different aspects of dynaoic and differential game theory and its applications in economic modeling and decision making. All but one of these were presented as invited papers in special sessions I organized at the 7th Annual Conference on Economic Dynamics and Control in London, England, during the period June 26-28, 1985. The first article, which comprises Chapter 1, provides a general introduction to the topic of dynamic and differential game theory, discusses various noncooperative equilibrium solution concepts, includ ing Nash, Stackelberg, and Consistent Conjectural Variations equilibria, and a number of issues such as feedback and time-consistency. The second chapter deals with the role of information in Nash equilibria and the role of leadership in Stackelberg problems. A special type of a Stackelberg problem is the one in which one dominant player (leader) acquires dynamic information involving the actions of the others (followers), and constructs policies (so-called incentives) which enforce a certain type of behavior on the followers; Chapter 3 deals with such a class of problems and presents some new theoretical results on the existence of affine incentive policies. The topic of Chapter 4 is the computation of equilibria in discounted stochastic dynamic games. Here, for problems with finite state and decision spaces, existing algorithms are reviewed, with a comparative study of their speeds of convergence, and a new algorithm for the computation of nonzero-sum game equilibria is presented.
Author: Don E. Waldman
Publisher: Routledge
Published: 2016-07-01
Total Pages: 758
ISBN-13: 1315510529
DOWNLOAD EBOOKWritten solely for the undergraduate audience, Industrial Organization: Theory and Practice, which features early coverage of Antitrust, punctuates its modern introduction to industrial organization with relevant empirical data and case studies to show students how to apply theoretical tools.
Author: Jati Sengupta
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 478
ISBN-13: 9400950535
DOWNLOAD EBOOKUse of information is basic to economic theory in two ways. As a basis for optimization, it is central to all normative hypotheses used in eco nomics, but in decision-making situations it has stochastic and evolution ary aspects that are more dynamic and hence more fundamental. This book provides an illustrative survey of the use of information in econom ics and other decision sciences. Since this area is one of the most active fields of research in modern times, it is not possible to be definitive on all aspects of the issues involved. However questions that appear to be most important in this author's view are emphasized in many cases, without drawing any definite conclusions. It is hoped that these questions would provoke new interest for those beginning researchers in the field who are currently most active. Various classifications of information structures and their relevance for optimal decision-making in a stochastic environment are analyzed in some detail. Specifically the following areas are illustrated in its analytic aspects: 1. Stochastic optimization in linear economic models, 2. Stochastic models in dynamic economics with problems of time-inc- sistency, causality and estimation, 3. Optimal output-inventory decisions in stochastic markets, 4. Minimax policies in portfolio theory, 5. Methods of stochastic control and differential games, and 6. Adaptive information structures in decision models in economics and the theory of economic policy.