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Produktbeschreibungen
Kurzbeschreibung
Designed for a first course in introductory econometrics, Introduction to Econometrics, reflects modern theory and practice, with interesting applications that motivate and match up with the theory to ensure students grasp the relevance of econometrics. Authors James H. Stock and Mark W. Watson integrate real-world questions and data into the development of the theory, with serious treatment of the substantive findings of the resulting empirical analysis.
Synopsis
Designed for a first course in introductory econometrics, Introduction to Econometrics, reflects modern theory and practice, with interesting applications that motivate and match up with the theory to ensure students grasp the relevance of econometrics. Authors James H. Stock and Mark W. Watson integrate real-world questions and data into the development of the theory, with serious treatment of the substantive findings of the resulting empirical analysis.
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24 Rezensionen
24 von 29 Kunden fanden die folgende Rezension hilfreich
THE BEST
31. März 2004
Format:Gebundene Ausgabe
This is a great textbook for undergraduate econometrics (some graduate students would also benefit from some chapters, like the one on Instrumental Variables, or Program Evaluation, or the chapters on Time Series & Forecasting). No wonder Mark Watson is one of the authors, since he is one of the best teachers I ever had. The book is clear, and it skips a lot of useless, obsolete stuff that most undergraduates have typically to go over just because everyone else has gone over it before. No time wasted with homoskedasticity, "fixed" regressors, Durbin-Watson. Everything is based on large-sample theory, the regressors are never assumed to be "nonstochastic", and homoskedasticity is treated as an exception (which is what happens in practice), not as a rule. There are nice, long empirical applications in each chapter, and some examples are dealt with in more chapters, so that you can see how new concepts are applied to the same problem, and how our understanding of the problem changes and improves with more refined tools. For more advanced students, mathematical appendixes (and a few chapters at the end) also provide reasonably accessible but relatively complex proofs. A great book.
8 von 10 Kunden fanden die folgende Rezension hilfreich
Lacking in key areas
16. Oktober 2006
Format:Gebundene Ausgabe
I found the book to be adequate in terms of how well-written it is, but lacking in many areas that keep it from getting anything higher than 3 stars.
My biggest gripe is that there are few examples. I really took this for granted, and didn't notice how important it was until they were taken out. In classes like math, you can easily get lost in all the notation in each formula. Examples are important because they show you how to use that formula in a real application. The book lacks examples, and this really makes it harder to understand what Stock and Watson are talkin about.
Another thing I'd like are answers to their problems. This is just useful so that you can check whether you are doing the problems at the end of the chapter right. Otherwise, you're completely clueless on how well you are doing.
My biggest gripe is that there are few examples. I really took this for granted, and didn't notice how important it was until they were taken out. In classes like math, you can easily get lost in all the notation in each formula. Examples are important because they show you how to use that formula in a real application. The book lacks examples, and this really makes it harder to understand what Stock and Watson are talkin about.
Another thing I'd like are answers to their problems. This is just useful so that you can check whether you are doing the problems at the end of the chapter right. Otherwise, you're completely clueless on how well you are doing.
8 von 10 Kunden fanden die folgende Rezension hilfreich
Like the curate's egg: good in parts
3. September 2003
Format:Gebundene Ausgabe
An uneven book. Some of the explanations are clear and the long applications can be quite interesting and useful. However, several times the authors do not give an explanation that would be intuitively easier to understand. It would also have been helpful to provide some simpler, even if artificial, examples in addition to the longer applications.
These can no doubt be fixed in a second edition. At present, the revised edition of Wooldridge or even the older Jack Johnston is more intuitively appealing, while Greene is more complete.
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