Paperback: 360 pages
Publisher: For Dummies; 1 edition (June 24, 2013)
Language: English
ISBN-10: 1118533844
ISBN-13: 978-1118533840
Product Dimensions: 7.4 x 0.7 x 9.3 inches
Shipping Weight: 1.2 pounds (View shipping rates and policies)
Average Customer Review: 4.4 out of 5 stars See all reviews (34 customer reviews)
Best Sellers Rank: #32,747 in Books (See Top 100 in Books) #10 in Books > Business & Money > Economics > Econometrics
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.
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