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Titlebook: Mathematical Methods in Dynamic Economics; András Simonovits Book 2000 Palgrave Macmillan, a division of Macmillan Publishers Limited 2000

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書目名稱Mathematical Methods in Dynamic Economics
編輯András Simonovits
視頻videohttp://file.papertrans.cn/627/626255/626255.mp4
圖書封面Titlebook: Mathematical Methods in Dynamic Economics;  András Simonovits Book 2000 Palgrave Macmillan, a division of Macmillan Publishers Limited 2000
描述This book contains a concise description of important mathematical methods of dynamics and suitable economic models. It covers discrete as well as continuous-time systems, linear and nonlinear models. Mixing traditional and modern materials, the study covers dynamics with and without optimization, naive and rational expectations, respectively. In addition to standard models of growth and cycles, the book also contains original studies on control of a multisector economy and expectations-driven multicohort economy. Numerous examples, problems (with solutions) and figures complete the book.
出版日期Book 2000
關(guān)鍵詞Mathematica; optimal control; optimization
版次1
doihttps://doi.org/10.1057/9780230513532
isbn_ebook978-0-230-51353-2
copyrightPalgrave Macmillan, a division of Macmillan Publishers Limited 2000
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Nonlinear Difference Equationsnd stability of . extending theorems for linear systems to nonlinear ones. In Section 3.2 we shall study . In Section 3.3 the so-called . will be analyzed where the paths depend sensitively on the initial states. Useful information can be found in Guckenheimer (1979), Guckenheimer and Holmes (1986),
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Discrete-Time Nonlinear Models shall analyze time-invariant . in this Chapter. These models yield cycles and more complex behavior not only as exception but as rule. In Section 4.1 . are analyzed by reduction to the logistic model of Section 3.3. In Sections 4.2-4.4 we shall generalize the linear models of Chapter 2 to nonlinear
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Ordinary Differential Equationso time (or another scalar). Since we shall always consider ordinary differential equations in this book, we shall drop the adjective . We shall see the deep similarity between the theorems on differential equations and those on difference equations. To avoid lengthy references to Chapters 1 and 3, w
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Applications of Dynamic Programmings follow. Sections 8.1 and 8.2 discuss optimal saving (exogenous factor prices) and accumulation (endogenous factor prices), respectively. Section 8.3 extends the analysis of Section 8.2 to the n-dimensional case. Section 8.4 presents a game-theoretic application of dynamic programming (due to Levha
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