Econometrics For Dummies Paperback – June 24, 2013

This book was invaluable during my econometrics course! Each chapter can be read on its own - and it’s easy to jump in at any point. The division of topics is quite logical as well, so it’s easy to find what you are looking for. Topics are explained in a way that is easy to understand. The biggest strength of this book is how clearly it explains concepts - and it also highlights which information is the most important!I found the STATA examples to be very helpful - especially when trying to figure out the software myself. However, you can still get a good grasp of the concepts without having STATA or using the examples.I also appreciated the inclusion of some Stats review and the probability tables - which meant I didn’t need any other resources to get a refresher!

This is an excellent starting book to learn basics of econometrics. Only objection I have is using STATA, which is commercial software, for examples. More suitable for wider audience would be using R.

Unlike most Dummies books, this one requires expensive software. It could have been a good book if had used open source software, but as it is you can't do the examples without spending big $$$. Mine's going back.

The book was helpful to review for my final. This book will mostly help you to gain a better conceptual understanding but not so much in terms of calculation.

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.

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.

I was looking for a book to help me solidify what I learned (and some things that I didn't learn) in my first semester of econometrics, and this was perfect. I will be taking advanced econometrics this year and, with this book, I now feel better prepared for the class. This book explains both the methodological and mechanical fundamentals of regression analysis. As a previous reviewer mentioned, there are alternative textbook supplements out there, but I think they assume too much prior knowledge for most first-semester econometrics students. Another great characteristic of this book is that it provides examples of how to apply the techniques using software and good explanations of the computer output. This is something that's missing in many of the other alternatives. I wish this book had been available when I took my first semester of econometrics, but better late than never.

Nice book, easy to read