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Dynamic Economics: Quantitative Methods and Applications [Englisch] [Gebundene Ausgabe]

Jerome Adda , Russell Cooper

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Kurzbeschreibung

7. Oktober 2003
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.

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"Paarsch is the 'founding father' of the rapidly growing literature on structural econometric analysis of auctions, and Hong compliments Paarsch's skills in the economics, theory, and computation of solutions to auction models with his own strongexpertise in semiparametric econometric methods. The result is an excellent book that is on the 'must read' list for anyone who is interested in this literature, including the frontiers of current research in both parametric and semiparametric methods of inferences that can be applied to a wide range of auction institutions."--John Rust, Professor of Economics, University of Maryland " Dynamic Economics is the sort of book I wish I had written. It provides a very accessible and interesting introduction to the literature on economic models based on dynamic programming methods that have been developed in the last several decades. Unlike other recent work in this area, Adda and Cooper"s book discusses econometric methods for estimating the unknown parameters of these models as well as summarizing some of the most promising computational methods for solving them. The book provides a range of interesting examples and is written at a level that is accessible for people who are new to the subject, but it also contains many deep ideas that will be appreciated by people who spend their careers researching in this area. I learned a lot from this book and recommend it as a text for graduate classes (possibly even advanced undergraduate classes) on dynamic economic methods." John Rust, Professor of Economics, University of Maryland "*Dynamic Economics* is the sort of book I wish I had written. It provides a very accessible and interesting introduction to the literature on economic models based on dynamic programming methods that have been developed in the last several decades. Unlike other recent work in this area, Adda and Cooper's book discusses econometric methods for estimating the unknown parameters of these models as well as summarizing some of the most promising computational methods for solving them. The book provides a range of interesting examples and is written at a level that is accessible for people who are new to the subject, but it also contains many deep ideas that will be appreciated by people who spend their careers researching in this area. I learned a lot from this book and recommend it as a text for graduate classes (possibly even advanced undergraduate classes) on dynamic economic methods."--John Rust, Professor of Economics, University of MarylandPlease note: Endorser gives permission to excerpt from quote.

Synopsis

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.

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Amazon.com: 4.3 von 5 Sternen  3 Rezensionen
6 von 6 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Intuitive and practical 26. April 2010
Von Quant Econ - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
Compared to many other books relying on maths to introduce dynamic programming, Adda and Cooper's book is unique as it starts with simple and intuitive introduction, but ends with practical methods and techniques that one can use in research, which is not the focus of other books (say Stokey and Lucas book). I benefited from reading it for writing my thesis, and found that it is one of the very few books that really put dynamic programming into economic questions. The book is terse, so very handy when I need.
4.0 von 5 Sternen Practical, Intuitive, and Excellent Compliment to Ljungqvist and Sargent 12. August 2012
Von Amazon Customer - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
If you are starting a PhD in economics, there are a few books you must have. On the micro side this is pretty clear. On the macro side, there are a few option. Ljungqvist & Sargent, and Stokey, Lucas, Prescott are two classics (among a number of options).

To the standard options I would add this book and Stachurski's Economic Dynamics: Theory and Computation. Both of these books have very intuitive approaches to the many problems you will encounter in economic dynamics (which is not restricted purely to macro, of course). I initially studied out of L&S and S/L/P in my first year, and only later found these two as I had to review a couple topics for research -- I really wish I'd had one or both my first year.

A side benefit is that both are much more compact, physically, than either L&S or S/L/P. Carrying both of Adda & Cooper and Stachurski around was no effort whatsoever, and the insight I got from both was well worth their real estate.

The only slight downside I'll give Adda and Cooper is they don't have much code available for some of their examples. Of course, any code is nice (perhaps I've been spoiled by Stachurski). Also, there is a typo in line 33 of the code in Figure 3.1, p 38. I believe that

newV[i_s, i_y] = max(aux)

should be

newV[i_s] = max(aux)

... because this is outside the income loop. (One of the tricky things about writing code in language-neutral pseudo-code is that you can never double-check it by simply running the code and looking for errors.)

Aside from that, this is an excellent resource!
3 von 6 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen nice easy book 25. April 2008
Von Bob - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
this book is nice to have as a compliment to sargent and lindquist. its a nice way to get your feet wet in dynamic programming.
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