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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: #51413 in Books
- Published on: 2013-06-24
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x .70" w x 7.40" l, 1.15 pounds
- Binding: Paperback
- 360 pages
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
1 of 1 people found the following review helpful.
A dummies book but not really for dummies
By Economist
This is a brilliant introductory book on econometrics. I cannot even begin to imagine how hard it was to write this book. The balancing act of maintaining the fidelity of econometrics with a dummies perspective must have been challenging. The author presents classical topics in statistics (hypothesis testing, confidence intervals, etc.) and econometrics (Ordinary Least Squares, Classical Violations, etc.) in a rigorous but straightforward approach.
I was very surprised that the author chose to use derivations/equations to present topics. This method of teaching econometrics is extremely powerful but is not for everyone. As someone having a PhD in Economics, I found the presentation of materials extremely clear and even refreshing. However, I'd find it almost impossible for an individual to learn econometrics from this book without prior experience. That's not saying anything bad about the author. He/She did the best they could. Econometrics is hard.
1 of 1 people found the following review helpful.
Good for Data Analysis people figuring out more about Modeling
By Yuwan Cheng
This book is very helpful understanding Stats modeling without getting too deeply involved with maths.
I am doing data analysis in business cases. And for most stats material I have encountered, either they failed to provide valuable information helping me making modeling decisions, or they get too deeply involved with mathmatics that I do not understand for my knowledge. This book is just right if you want to understand different models and apply them in real life problem solving. For those who complain about this book being not for dummies, well, in the introduction of this book, it has mentioned some of the stats knowledge and econ knowledge are assumed for readers. I would say, if you have solid understanding of how to construct a linear regression and would like to know more about different modeling, this is the book for you to go further.
1 of 1 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.
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