la qualità dell'inchiostro usato nel libro non è così buona!
perché il carattere è piccolo, è un po 'difficile da leggere.
il libro e la guida stessa sono eccellenti. leggi questo libro e capirai i libri più avvantaggiati della storia dell'econometria.
questo libro non copre il 100% di tutta l'area econometrica!
Ma copre sicuramente ciò di cui uno studente di dottorato in economia ha bisogno! (prima di andare in cose tecniche)
Riposa in pace professore Kennedy, hai fatto un ottimo lavoro!
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A Guide to Econometrics Hardcover – 28 April 2008
by
Peter Kennedy
(Author)
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Purchase options and add-ons
This is the perfect (and essential) supplement for all econometrics classes--from a rigorous first undergraduate course, to a first master's, to a PhD course.
- Explains what is going on in textbooks full of proofs and formulas
- Offers intuition, skepticism, insights, humor, and practical advice (dos and don’ts)
- Contains new chapters that cover instrumental variables and computational considerations
- Includes additional information on GMM, nonparametrics, and an introduction to wavelets
- ISBN-10140518258X
- ISBN-13978-1405182584
- Edition6th
- PublisherWiley-Blackwell
- Publication date28 April 2008
- LanguageEnglish
- Dimensions19.69 x 3.18 x 24.77 cm
- Print length608 pages
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Product description
Review
"The first edition of this book was a slim, non-technical introduction that would commonly be recommended to students struggling with their main course text. Over the years it has metamorphosed into a substantial volume in its own right, but the basic idea remains; light on technicalities but strong on insights, tips and quirky asides." (Times Higher Educations Supplement, February 2009)
Review
"The first edition of this book was a slim, non-technical introduction that would commonly be recommended to students struggling with their main course text. Over the years it has metamorphosed into a substantial volume in its own right, but the basic idea remains; light on technicalities but strong on insights, tips and quirky asides." (Times Higher Educations Supplement, February 2009)
From the Publisher
Peter Kennedy is Professor of Economics at Simon Fraser University. In addition to A Guide to Econometrics, he is author of Macroeconomic Essentials: Understanding Economics in the News, 2e (2000), and is Associate Editor of the International Journal of Forecasting, the Journal of Economic Education, and Economics Bulletin.
From the Inside Flap
This is the perfect (and essential) supplement for all econometrics classes--from a rigorous first undergraduate course, to a first master's, to a PhD course. It explains what is going on in textbooks full of proofs and formulas. Kennedy’s A Guide to Econometrics offers intuition, skepticism, insights, humor, and practical advice (dos and don’ts). The sixth edition contains new chapters on instrumental variables and on computation considerations, more information on GMM and nonparametrics, and an introduction to wavelets.
From the Back Cover
This is the perfect (and essential) supplement for all econometrics classes--from a rigorous first undergraduate course, to a first master's, to a PhD course. It explains what is going on in textbooks full of proofs and formulas. Kennedy’s A Guide to Econometrics offers intuition, skepticism, insights, humor, and practical advice (dos and don’ts). The sixth edition contains new chapters on instrumental variables and on computation considerations, more information on GMM and nonparametrics, and an introduction to wavelets.
About the Author
Peter Kennedy is Professor of Economics at Simon Fraser University. In addition to A Guide to Econometrics, he is author of Macroeconomic Essentials: Understanding Economics in the News, 2e (2000), and is Associate Editor of the International Journal of Forecasting, the Journal of Economic Education, and Economics Bulletin.
Product details
- Publisher : Wiley-Blackwell; 6th edition (28 April 2008)
- Language : English
- Hardcover : 608 pages
- ISBN-10 : 140518258X
- ISBN-13 : 978-1405182584
- Dimensions : 19.69 x 3.18 x 24.77 cm
- Customer Reviews:
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4.6 out of 5 stars
4.6 out of 5
98 global ratings
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Top reviews from other countries
Mikeeee
5.0 out of 5 stars
quello che ti serve per l'econometria
Reviewed in Italy on 12 November 2019Verified Purchase
Amazon Customer
5.0 out of 5 stars
Great book to understand the intuition
Reviewed in Canada on 20 January 2017Verified Purchase
I recommend this book to every student who wants to grab the intuition of every econometrics concept.. Verrryy good supplement to graduate students.. It teaches you undergrad and grad ideas of Econometrics in a very simple way with a lot of examples.. Don't read only the sections in every chapter.. Extend your reading to the general and technical notes as these are also very important parts to bridge your understanding of the material.
One person found this helpful
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Roy
4.0 out of 5 stars
superbe
Reviewed in France on 25 July 2016Verified Purchase
Un ouvrage fondamental pour comprendre l'économétrie, ses difficultés et ses potentielles. Même lorsque l'on ne comprend pas les maths, l'ouvrage permet de comprendre et de lire des études économétriques... et même de les critiquer! Une référence à n'en pas douter. En plus le style est très sympathique.
therealus
5.0 out of 5 stars
A Philosophy of Econometrics
Reviewed in the United Kingdom on 26 January 2015Verified Purchase
Were I beginning my study or use of econometrics today, this is not the book I would want to start with. I would leave that task up to Wooldridge’s Introductory Econometrics, which provides a far more basic view of the subject for bears of little brain such as me.
However, armed with a little knowledge, which as we know can be a dangerous thing, Kennedy’s Guide helps cut through the necessary simplifications and assumptions provided to beginners to enable a more nuanced, perhaps realistic, view. The author systematically examines the basics, identifies potential complications and pitfalls, and offers solutions.
Each chapter is divided into three, beginning with the essential understanding, progressing to a discussion of the finer points and where further information may be obtained in the academic literature, and on to an exposition of the finer technical details.
The style is unavoidably technical at times, but the author manages to avoid disappearing up his own syntax, meaning that there are no points at which it is necessary to wrangle with the intricacies of a sentence. There is also a lightness of touch to the style, combined with some occasional light-hearted, self-deprecating discussion of the perils of statistical analysis if the principles are applied unthinkingly.
In many ways what it amounts to is a Philosophy of Econometrics, examining how econometrics applies to the real world but also highlighting the possibility of its misuse in the wrong hands. Amongst other things he is quite scathing of theory-free data mining, in which a large number of regressions are run in the search for significant t stats, in which there is a high risk of type I errors (false positives).
So, while not my ideal starting point, definitely a book to be read second or, if you’re in a hurry, in parallel with a more basic text.
However, armed with a little knowledge, which as we know can be a dangerous thing, Kennedy’s Guide helps cut through the necessary simplifications and assumptions provided to beginners to enable a more nuanced, perhaps realistic, view. The author systematically examines the basics, identifies potential complications and pitfalls, and offers solutions.
Each chapter is divided into three, beginning with the essential understanding, progressing to a discussion of the finer points and where further information may be obtained in the academic literature, and on to an exposition of the finer technical details.
The style is unavoidably technical at times, but the author manages to avoid disappearing up his own syntax, meaning that there are no points at which it is necessary to wrangle with the intricacies of a sentence. There is also a lightness of touch to the style, combined with some occasional light-hearted, self-deprecating discussion of the perils of statistical analysis if the principles are applied unthinkingly.
In many ways what it amounts to is a Philosophy of Econometrics, examining how econometrics applies to the real world but also highlighting the possibility of its misuse in the wrong hands. Amongst other things he is quite scathing of theory-free data mining, in which a large number of regressions are run in the search for significant t stats, in which there is a high risk of type I errors (false positives).
So, while not my ideal starting point, definitely a book to be read second or, if you’re in a hurry, in parallel with a more basic text.
7 people found this helpful
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