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Econometrics For Dummies, by Roberto Pedace
Download PDF Econometrics For Dummies, by Roberto Pedace
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Score your highest in econometrics? Easy.
Econometrics can prove challenging for many students unfamiliar with the terms and concepts discussed in a typical econometrics course. Econometrics For Dummies eliminates that confusion with easy-to-understand explanations of important topics in the study of economics.
Econometrics For Dummies breaks down this complex subject 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.
- An excellent resource for anyone participating in a college or graduate level econometrics course
- Provides you with an easy-to-follow introduction to the techniques and applications of econometrics
- Helps you score high on exam day
If you're seeking a degree in economics and looking for a plain-English guide to this often-intimidating course, Econometrics For Dummies has you covered.
- Sales Rank: #151846 in eBooks
- Published on: 2013-06-05
- Released on: 2013-06-05
- Format: Kindle eBook
From the Back Cover
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
About the Author
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.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Overall a good basic coverage of the material
By Steven Peterson
Overall a good basic coverage of the material. In some places he skips steps when solving equations, which make it hard to follow. I could not find the data set he used in the examples, which makes them hard to follow.
26 of 28 people found the following review helpful.
Kind of an odd duck for the Dummies series, but decent text
By J. Loscheider
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.
13 of 13 people found the following review helpful.
NOT For Someone Who Knows NOTHING About The Subject!
By Strategos
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.
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