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Condition: good. Fast Free Shipping â" Good condition book with a firm cover and clean, readable pages. Shows normal use, including some light wear or limited notes highlighting, yet remains a dependable copy overall. Supplemental items like CDs or access codes may not be included.
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Seller: My Dead Aunt's Books, Hyattsville, MD, U.S.A.
hardcover. Condition: Very Good. Dust Jacket Condition: None as issued. The pages are clean and unmarked. The cover has some very mild bumping and scuffs.
Seller: Greener Books, London, United Kingdom
£ 39.71
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Add to basketHardcover. Condition: Collectible; Very Good. toy missing **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketHardcover Aug 29, 2003. Condition: gebraucht; wie neu.
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Add to baskethardcover. Condition: Gut. 296 Seiten; 9780262012010.3 Gewicht in Gramm: 1.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 296 pages. 9.00x6.00x0.74 inches. In Stock.
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Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An integrated approach to the empirical application of dynamic optimization programming models, for students and researchers.This book is an effective, concise text for students and researchers that combines the tools of dynamic programming with numerical techniques and simulation-based econometric methods. Doing so, it bridges the traditional gap between theoretical and empirical research and offers an integrated framework for studying applied problems in macroeconomics and microeconomics.In part I the authors first review the formal theory of dynamic optimization; they then present the numerical tools and econometric techniques necessary to evaluate the theoretical models. In language accessible to a reader with a limited background in econometrics, they explain most of the methods used in applied dynamic research today, from the estimation of probability in a coin flip to a complicated nonlinear stochastic structural model. These econometric techniques provide the final link between the dynamic programming problem and data. Part II is devoted to the application of dynamic programming to specific areas of applied economics, including the study of business cycles, consumption, and investment behavior. In each instance the authors present the specific optimization problem as a dynamic programming problem, characterize the optimal policy functions, estimate the parameters, and use models for policy evaluation.The original contribution of Dynamic Economics: Quantitative Methods and Applications lies in the integrated approach to the empirical application of dynamic optimization programming models. This integration shows that empirical applications actually complement the underlying theory of optimization, while dynamic programming problems provide needed structure for estimation and policy evaluation.