On the Sensitivity of Optimal Growth Paths PDF Download
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Author: Gerhard Sorger
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Gerhard Sorger
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Category :
Languages : en
Pages :
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Author: Manfred Nermuth
Publisher:
ISBN:
Category :
Languages : de
Pages : 48
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Author: S. Niggol Seo
Publisher: Springer Nature
ISBN: 3031207548
Category : Business & Economics
Languages : en
Pages : 330
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Book Description
Every society aspires to be prosperous. It also endeavors to minimize the side effects of economic growth. This book entitled The Economics of Optimal Growth Pathways addresses numerous trade-offs faced by society to achieve prosperity and explores the best possible growth pathways. The theories explored in this book serve as a springboard to better understand key challenges and aspects of the economy, including food security, land use, forest and resource management, capital markets and interest rates, oil and gas extraction, fish and marine resources, saving and investment, and climate change. This book elucidates the concept of optimal economic growth pathways while addressing the challenges faced in natural resources and life on the planet. It will be relevant to students and researchers interested in resource and environmental economics.
Author: John Stachurski
Publisher: Springer Science & Business Media
ISBN: 3642223974
Category : Business & Economics
Languages : en
Pages : 454
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Book Description
Optimal growth theory studies the problem of efficient resource allocation over time, a fundamental concern of economic research. Since the 1970s, the techniques of nonlinear dynamical systems have become a vital tool in optimal growth theory, illuminating dynamics and demonstrating the possibility of endogenous economic fluctuations. Kazuo Nishimura's seminal contributions on business cycles, chaotic equilibria and indeterminacy have been central to this development, transforming our understanding of economic growth, cycles, and the relationship between them. The subjects of Kazuo's analysis remain of fundamental importance to modern economic theory. This book collects his major contributions in a single volume. Kazuo Nishimura has been recognized for his contributions to economic theory on many occasions, being elected fellow of the Econometric Society and serving as an editor of several major journals. Chapter “Introduction” is available open access under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License via link.springer.com.
Author: Mukul Majumdar
Publisher: Springer Science & Business Media
ISBN: 9783540670308
Category : Business & Economics
Languages : en
Pages : 468
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Book Description
This collection of essays brings together some articles on dynamic optimization models that exhibit chaotic behavior. Chapters 3, 4, 5, 6, 7, and 9 appeared in a Symposium on Chaotic Dynamical Systems in Economic Theory (Volume 4, Number 5, 1994). Also, Chapters 10,11, and 12 appeared in the Journal of Economic The ory. We would like to thank the authors, and Academic Press for permission to reprint. We are grateful to Professor C.D. Aliprantis for suggesting the idea of a book structured around the Economic Theory Symposium, and without the support and patience of Dr. Mueller this project could not have been completed. We would like to thank Ms. Amy Gowan who cheerfully per formed the arduous task of typing the manuscript. Thanks are also due to Xiao Qing Yu, Tridip Ray and Malabika Majumdar for their help at various stages in the preparation of the manuscript. For a course on dynamic optimization addressed to students with a good background in economic theory and real analysis, one can assign Chapter 2 as a partial introduction to the basic tech niques. Chapters 3 and 4 can be assigned to provide examples of simple optmization models generating complicated behavior.
Author: Cuong Van
Publisher: Springer Science & Business Media
ISBN: 1402074093
Category : Business & Economics
Languages : en
Pages : 216
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Book Description
Dynamic Programming in Economics is an outgrowth of a course intended for students in the first year PhD program and for researchers in Macroeconomics Dynamics. It can be used by students and researchers in Mathematics as well as in Economics. The purpose of Dynamic Programming in Economics is twofold: (a) to provide a rigorous, but not too complicated, treatment of optimal growth models in infinite discrete time horizon, (b) to train the reader to the use of optimal growth models and hence to help him to go further in his research. We are convinced that there is a place for a book which stays somewhere between the "minimum tool kit" and specialized monographs leading to the frontiers of research on optimal growth.
Author: Akira Takayama
Publisher: Cambridge University Press
ISBN: 9780521314985
Category : Business & Economics
Languages : en
Pages : 770
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Book Description
This systematic exposition and survey of mathematical economics emphasizes the unifying structures of economic theory.
Author: Mr. Ippei Shibata
Publisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 10
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Book Description
Despite achieving a rapid reduction in the public debt-to-GDP ratio in recent years, Portugal's debt ratio remains relatively high at 113.9 percent of GDP in end-2022. This paper employs an analytical model to determine the appropriate trajectory for structural consolidation to sustain ambitious debt reduction over the medium term, taking into account the uncertainties in the economic landscape. The model points to a need for continued fiscal tightening between 2024 and 2028. Optimal consolidation would be higher under higher longterm interest rates, lower medium-term growth prospects, or increased market sensitivity to debt.
Author: William A. Brock
Publisher: Edward Elgar Publishing
ISBN: 9781782543046
Category : Business & Economics
Languages : en
Pages : 488
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Book Description
'Buz Brock's contribution to economic theory in general and economic dynamics in particular are characterized by an unmatched richness of ideas and by deep theoretical, empirical as well as computational analysis. Brock's contribution to economic dynamics range from one extreme of the field, global stability of stochastic optimal growth models, to another extreme, market instability and nonlinearity in economic and financial modelling and data analysis. But his work also includes environmental and economic policy issues and, more recently, the modelling of markets as complex adaptive systems. This collection of essays reflects Brock's richness of ideas that have motivated economists for more than three decades already and will continue to influence many economists for the next decades to come.' - Cars H. Hommes, University of Amsterdam, The Netherlands 'Buz Brock has been, from the beginning of his career, one of the most original thinkers in dynamic economics. His early work showed that growth with random elements could be studied effectively and above all posed exactly the right questions. His more recent work has brought complexity theory to the fore and shown its implications for financial and other markets. In the process, he has both introduced and used econometric tools to show the relevance of his work to empirically observed phenomena. It is very useful to have his work in collected form.' - Kenneth J. Arrow, Stanford University, US This outstanding collection of William Brock's essays illustrates the power of dynamic modelling to shed light on the forces for stability and instability in economic systems. The articles selected reflect his best work and are indicative both of the type of policy problem that he finds challenging and the complex methodology that he uses to solve them. Also included is an introduction by Brock to his own work, which helps tie together the main aspects of his research to date.
Author: Tomas Gal
Publisher: Springer Science & Business Media
ISBN: 1461561035
Category : Business & Economics
Languages : en
Pages : 595
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Book Description
The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. This division can be seen by reading the contents page of just about any OR/MS textbook. The mathematical models that help to define OR/MS are usually presented in terms of one subfield or the other. This separation comes about somewhat artificially: academic courses are conveniently subdivided with respect to prerequisites; an initial overview of OR/MS can be presented without requiring knowledge of probability and statistics; text books are conveniently divided into two related semester courses, with deterministic models coming first; academics tend to specialize in one subfield or the other; and practitioners also tend to be expert in a single subfield. But, no matter who is involved in an OR/MS modeling situation (deterministic or probabilistic - academic or practitioner), it is clear that a proper and correct treatment of any problem situation is accomplished only when the analysis cuts across this dichotomy.
