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Produktbeschreibungen
Kurzbeschreibung
Principles of Econometrics clearly shows why econometrics is necessary and provides you with the ability to utilize basic econometric tools. You'll learn how to apply these tools to estimation, inference, and forecasting in the context of real world economic problems. In order to make concepts more accessible, the authors offer lucid descriptions of techniques as well as appropriate applications to today's situations. Along the way, you'll find introductions to simple economic models and questions to enhance critical thinking.
Synopsis
"Principles of Econometrics" clearly shows why econometrics is necessary and provides you with the ability to utilize basic econometric tools. You'll learn how to apply these tools to estimation, inference, and forecasting in the context of real world economic problems. In order to make concepts more accessible, the authors offer lucid descriptions of techniques as well as appropriate applications to today's situations. Along the way, you'll find introductions to simple economic models and questions to enhance critical thinking.
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Einleitungssatz
The importance of econometrics extends far beyond the discipline of economics. Lesen Sie die erste Seite Ausgewählte Seiten ansehen
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
The importance of econometrics extends far beyond the discipline of economics. Lesen Sie die erste Seite Ausgewählte Seiten ansehen
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
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Kundenrezensionen
Die hilfreichsten Kundenrezensionen
4 von 6 Kunden fanden die folgende Rezension hilfreich
Format:Gebundene Ausgabe
This book begins with simple concepts and gradually introduces more complex methods at a pace that is very comfortable. It is for a one-quarter course for undergraduates who have had basic courses in mathematics and economics. However, it doesn't give proof for most of statistical theorems it uses. After all, I highly recommend it.
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10 Rezensionen
16 von 16 Kunden fanden die folgende Rezension hilfreich
Very good for learning
15. Februar 2004
Format:Gebundene Ausgabe
This book is a shortened version of "Learning and Practising Econometrics (1993)", which itself is a shortened version of "The Theory and Practice of Econometrics (1982)".
Hill's "Undergraduate Econometrics" instills understanding by slowly going through derivations and principles, while at the same time motivating econometric analysis by referring to economic situations where it can be used. Much better than Gujarati (which tends to be a "cookery book" rather than giving an integrated treatment).
The book both motivates the student and takes them through the steps and methods they will need to adopt in further econometric studies, and always provides a good reference (often to one of the parent books mentioned above) when it omits proofs and other details.
The only weakness of the book reveals what is (to my mind) an unhealthy preoccupation with estimation issues, as opposed to those of data quality. As people like Granger have consistently pointed out, the real issues in 21st century econometrics have to do with what sort of data we have, and what methods are most appropriate in different situations. Despite this, Hill et al almost exclusively dwell on the identically and independently distributed (iid) specification. However, I should point out in the book's defence that this preoccupation is shared by most other introductory (and graduate) textbooks on econometrics.
The book's good points far outweigh these weaknesses. Finally, the second edition has some updates, and discusses such developments as time series econometrics. "Undergraduate Econometrics" should definitely be purchased by anyone wishing to learn about modern empirical methods.
15 von 15 Kunden fanden die folgende Rezension hilfreich
Excellent intuition BUT A POOR BRIDGE TO THE DREADFUL GREENE
18. Januar 2004
Format:Gebundene Ausgabe
This book is the best book to use for the very first course in econometrics. It takes you by the hand to teach you all you need in terms of the basics.
I only give it 4 stars for two reasons. First, while this book is non-mathematical (and I agree with that) it should have nonetheless appendices that make use of matrices and differential calculus.
Second, this book is extremely expensive.
This book can easily earn 5 stars if in the next edition it contains appendices that will create a bridge towards intermediate econometrics. A more reasonable price would also be welcomed.
Overall, this is the best book to use for a very first course in econometrics.
BUT BEWARE: THIS BOOK IS A POOR BRIDGE TO THE DREADFUL GREENE!!!!THE BEST BRIDGE IS "LEARNING AND PRACTICING ECONOMETRICS" BY THE SAME AUTHOURS OF "UNDERGRADUATE ECOMETRICS" I.E. HILL, GRIFFITHS, AND JUDGE.
By the way, for those that are looking for a good substitue to "Undergraduate Econometrics", you have "Basic Econometrics" by Gujarati.
I only give it 4 stars for two reasons. First, while this book is non-mathematical (and I agree with that) it should have nonetheless appendices that make use of matrices and differential calculus.
Second, this book is extremely expensive.
This book can easily earn 5 stars if in the next edition it contains appendices that will create a bridge towards intermediate econometrics. A more reasonable price would also be welcomed.
Overall, this is the best book to use for a very first course in econometrics.
BUT BEWARE: THIS BOOK IS A POOR BRIDGE TO THE DREADFUL GREENE!!!!THE BEST BRIDGE IS "LEARNING AND PRACTICING ECONOMETRICS" BY THE SAME AUTHOURS OF "UNDERGRADUATE ECOMETRICS" I.E. HILL, GRIFFITHS, AND JUDGE.
By the way, for those that are looking for a good substitue to "Undergraduate Econometrics", you have "Basic Econometrics" by Gujarati.
Thank you,
12 von 13 Kunden fanden die folgende Rezension hilfreich
carter makes me not-so-afraid of metrics...
2. Januar 2002
Format:Gebundene Ausgabe
this is one of those econometrics (i'll call it "metrics" from now on to save on typing) books which you know has to cover alot of the slow, boring stuff which lecturers expect students to know by the time they take metrics options and hated by undergraduates. having said that, this book does it quite well. one thing i hate in metrics texts is dense mathematical proofs. especially proofs which assume the reader knows other proofs intimately. this book nicely avoids that, dropping in an adequate and useful amount of proofs, especially the Gauss-Markov Theorem and a proof of why OLS estimation outshines any other method in simple regression analysis. the book does this without being overwhelming - in my opinion, mathematics has to be appreciated through discussion and argument, which Hill et al do quite admirably. Also, metrics is about interpretation of results, not just calculating them, and this book keeps that in mind very well from beginning to end. The reason i gave this book 4 stars is simple. when i was doing my last minute cramming for exams, i was able to move through the book quickly and easily, whilst still appreciating the main points, the big picture, and also the subtleties of more advanced topics like GLS, moments-based estimation and distributed lags in a short space of time. the book also comes with useful end-of-chapter "should know" points and problems. the best thing about the problems is the "real-world" nature of the tasks, often drawing on real-life data and economic intuition. using that data and being able to become comfortable with computer techniques is the most vital thing to a beneficial study of metrics. i found gujarati's "basic econometrics" a nice companion to this book (but then again everyone likes gujarati to some extent), but mostly i was satisfied with this book as a stand-alone manual to second-year metrics studies, good for laying the foundations for studies in topics like maximum likelihood estimation and financial econometrics. oh, and it's small and not too heavy. good for carrying around to classes all day!
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