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Econometrics For Dummies (Englisch) Taschenbuch – 9. Juli 2013


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Produktinformation

  • Taschenbuch: 360 Seiten
  • Verlag: John Wiley & Sons; Auflage: 1. Auflage (9. Juli 2013)
  • Sprache: Englisch
  • ISBN-10: 1118533844
  • ISBN-13: 978-1118533840
  • Größe und/oder Gewicht: 18,8 x 2 x 23,4 cm
  • Durchschnittliche Kundenbewertung: 2.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: Nr. 73.927 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

Mehr über den Autor

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Produktbeschreibungen

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Learn to:
* Grasp the techniques and applications of econometrics
* Make sense of complex concepts and material
* Use specialized software to apply your acquired econometrics skills
 
Understand econometric theory and apply econometric techniques
 
Econometrics can prove challenging for many students. Thankfully, Econometrics For Dummies eliminates that confusion with easy-to-understand explanations of important topics in the study of econometrics. This hands-on, friendly guide breaks down the complex subject of econometrics and provides you with an easy-to-follow course supplement to further refine your understanding of how econometrics works and how it can be applied in real-world situations.
* The nuts and bolts - get familiar with the various characteristics of the classical linear regression model (CLRM), which is the foundation of traditional econometric analysis
* Form and function - discover how econometric analysis is able to accommodate a considerable amount of flexibility with different mathematical functions and types of data
* Don't assume - find out how econometricians use some bizarre titles to identify problems that violate CLRM assumptions
* Be discrete - get to know how discrete and restricted dependent variables can create problems for traditional regression analysis and discover the techniques econometricians have developed to modify traditional regression analysis
* Make special note - delve deeper into a few specialized areas of econometrics, namely time-series analysis, pooled cross sections, and panel econometrics
 
Open the book and find:
* Plain-English explanations of complex material
* Computer outputs from STATA for many of the examples
* The economist's approach to statistical analysis
* The various characteristics of the classical linear regression model
* The most common problems encountered when performing regression analysis
* Lots of helpful figures
* Common mistakes in applied econometrics

Über den Autor und weitere Mitwirkende

Roberto Pedace, PhD, is an associate professor in the Department of Economics at Scripps College. His published work has appeared in Economic Inquiry, Industrial Relations, the Southern Economic Journal, Contemporary Economic Policy, the Journal of Sports Economics, and other outlets.

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Von Frederic am 21. Mai 2014
Format: Taschenbuch Verifizierter Kauf
Lieferung schnell !! Leider aber bekommt man ein Buch was eigentlich ein Fehldruck ist. Teilweise sind manche Seiten verknikkt.
Schade , sonst alles Optimal .
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 22 Rezensionen
11 von 12 Kunden fanden die folgende Rezension hilfreich
Kind of an odd duck for the Dummies series, but decent text 26. August 2013
Von J. Loscheider - Veröffentlicht auf Amazon.com
Format: Taschenbuch Vine Kundenrezension eines kostenfreien Produkts ( Was ist das? )
I'm writing this review as a research professional with a graduate degree in econ. I took enough econometrics that I'm familiar with most of the topics in this text. I'm approaching this review from the standpoint of how well this text fits in the Dummies series, and I don't think it does. This isn't a text that will take a person unfamiliar with stats or econ and give them a functional understanding of econometrics.

On that basis alone - how well Pedace's "Econometrics" fits in with the Dummies motto of "Making everything easier" or "...for the rest of us", this book gets three stars. There is nothing wrong (so far as I can check) with the techniques or formulas. The order of presentation is logical. I'll not make any judgment on the inclusion of STATA code or instruction. That's certainly nifty if you're a STATA user, especially since most texts I'm familiar with are based off SAS, SPSS or R. I just don't use STATA.

If this were not a Dummies text, but just an upper-level undergraduate text on econometrics, it'd get 4 stars. I especially like the treatment of regression analysis in chapter 5. The texts I've used (Kennedy, for example) assume familiarity with regression while Pedace (the author of this book) assumes you're fairly new to stats. In that light, maybe this is the book you read the month before your first econometrics class begins. Pedace organizes thoughts well, approaches the problem in a manner that allows a hands-on understanding, and keeps it fairly conceptual when possible.

I also thought chapters 10 and 11 on multicollinearity and heteroskedasticity were well-done. They struck me as being "toolbox" chapters that described the tests and techniques to use when dealing with suspected violations of the assumptions of the classical linear model. This is pretty standard for econometrics texts but it's an easier treatment without delving into the matrix.

However this stops being a dummies book somewhere after chapter 5. Some witty section headers and margin glyphs aside, this is really an upper-level undergraduate textbook. I have no idea how anyone without a stats or econ background will make it past chapter 10, or even why they'd be motivated to do so. Chapters 11 (autocorrelation) is, by necessity, very technical; what would be helpful for novice econometricians (and make this closer to a Dummies book) would be a roadmap like:
* What autocorrelation is
* What causes it
* Why it's so bad
* Ways to test:
- visual
- Geary Test
- Durbin-Watson
- Breusch-Godfrey
* Ways to fix:
- FGLS
- Serial Correlation Robust standard errors

So I penalize the book because it's a poor selection for the dummies series, even while it's been decently-done.
4 von 4 Kunden fanden die folgende Rezension hilfreich
NOT For Someone Who Knows NOTHING About The Subject! 23. September 2013
Von Strategos - Veröffentlicht auf Amazon.com
Format: Taschenbuch Vine Kundenrezension eines kostenfreien Produkts ( Was ist das? )
The "Foolish Assumptions" on page 2 sums it up perfectly. You should be studying this book AFTER microeconomics, principles of macroeconomics, and statistics. You should probably also have completed intermediate economic theory. The author assumes you are at college level readiness to take the course, a graduate student, or refreshing your memory after already taking a course in the subject.

The author assumes you already know algebra, principles of economics, and statistics. He assumes you already know numbers, equations, and Greek letters. He aso assumes you will be using econometrics software and can adapt his examples to software other than STATA if that's not what you are using.

If this describes you, great! You've found your book! If not...you'd better do everythiing described in the last two paragraphs before reading this one. It will NOT do what most Dummies books do and teach someone who knows NOTHING about a subject the basic principles. If you don't already know the subject, take all the prerequisite requirements first, then come back to this book.
2 von 2 Kunden fanden die folgende Rezension hilfreich
Good Introduction 17. August 2013
Von Mike - Veröffentlicht auf Amazon.com
Format: Taschenbuch Vine Kundenrezension eines kostenfreien Produkts ( Was ist das? )
Econometrics is an area of statistics that deals with building models from data. This book offers a good introduction to econometrics and covers all the basic concepts from ordinary least square, hypothesis testing, Guass-Markov, heteroscedasticity, covariance, correlation and modeling strategies. The content is inevitably mathematical in nature, so some familiarity with mathematical notation for arithmetic sums and basic calculus is assumed. If you are doing a survey course, this provides a clear exposition in a fairly traditional textbook format. If you like to learn by doing problems I think Schaum's Outline of Statistics and Econometrics, Second Edition (Schaum's Outline Series) is another good and affordable choice. You could also check out Ben Lambert's introductory course to econometrics on youtube. The author provides examples that use the SATA statistical software package for some examples. This does not limit the value of the content, but it would have been nice if the data sets were downloadable from the book's website.
2 von 2 Kunden fanden die folgende Rezension hilfreich
Great for Econometrics course 22. Januar 2014
Von Eno4G - Veröffentlicht auf Amazon.com
Format: Taschenbuch
For my masters level finance course we had DeFusco's CFA Quant book, and I also bought the Schweser study material. The DeFusco book was a pain, and the Schweser material didn't go far enough. This book made it so I could catch up and then excel in the class (of course when it was almost over). Great STATA examples, very easy to understand and logical layout. It walks you through econometrics from the basics into more advanced topics with ease, makes other books easy to understand. This book has probably the greatest cost/benefit ratio of any book I've purchased. Highly Recommend.
2 von 2 Kunden fanden die folgende Rezension hilfreich
A decent introduction 2. September 2013
Von kelsie - Veröffentlicht auf Amazon.com
Format: Taschenbuch Vine Kundenrezension eines kostenfreien Produkts ( Was ist das? )
Don't let the title fool you: this isn't a run of the mill Dummies book. Like "Economics for Dummies," Econometrics largely lacks the wittiness and humor of the typical Dummies title.

That being said, you get what you pay for. Roberto Pedace offers an introductory overview of the field and its principles, and he assumes less about the reader's foreknowledge than a standard academic work might. The largest issue is the book's almost total reliance on STATA in the early chapters. At times, the book feels less like an introduction to the field as a whole than it is a software manual for STATA. Also, while Pedace's hands-on approach is very much in the Dummies series vein and highly useful, a bit more discussion on the concepts being used would have been welcome.
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