Interpreting and Visualizing Regression Models Using Stata 1st Edition

This is a really great text on interpreting regression results from Stata, including making great use of the power of Stata's post-estimation commands. The book is written for practitioners, not statisticians. It's very clear and has tons of good examples. My copy is dogeared throughout. The only thing I didn't like about it is that I bought it when I was doing fixed-effects regression, and he doesn't deal with that - for panel data he only deals with mixed models. It would be great if a chapter on fixed-effects models could be added because the application of the techniques he talks about to fixed-effects really is different. Having said that, I would buy anything Mitchell wrote about Stata, based on my extensive experience with this book.

The book was packaged perfectly and with care.

Readable text with excellent step-by-step guides to plotting results in many useful scenarios. However, more importantly than 'how' this book also provides links to the methods literature to address 'why' certain modeling and plotting strategies are appropriate.

A good option for stata users. The book is well structurated and clear. It contains several examples that make it easier to learn the material.

This is a perfect book for someone who is trying to gain a better understanding of the output from regression models.

One word: Wow!

Outstanding

Thanks

I like this and it's great on marginal effects, but it's limited to this. What I'd like to see are those ways of graphing OLS regression models which exist but are updates on stata.

Excellent

The title of the book sounds very promising. However, I was a bit disappointed about the book. Basically, it explains how to use the margins, marginsplot and some other command in stata in detail. This is very helpful, especially when you are new to stata or to econometrics in general. In this case, you learn a lot about regressions and how to interpret the output. To be very clear about this: This book is really perfect when you are just beginning to be interested in stata/regression models.If you have already some basic knowledge about regression analysis (i.e.: you know at least OLS and logit-regression) many parts of the book are repetitive, because most of the commands are the same for every regression model. And the interpretation changes only marginally. I already knew a lot of the content just by reading some blogs and the stata help files. For example the IDRE UCLA Stata pages cover most of the content presented in this book. I hoped to get some additionally and more sophisticated knowledge by this book, which is not really true.5 Stars if you are new to this field / 3 Stars if you have already worked a lot with regression analysis in stata before.

Interactions are never easy easy to interpret. Michael Mitchell does a great job at organizing them by type (dichotomous x dichotomous, continuous x dichotomous etc.). The whole book is essentially a collection of hands on examples illustrated with graphs, tables and concise interpretations. This is a great reference to have if you use Stata for modelling.

The book is great. I own the other books by Michael Mitchell as well. However the packaging and the scratches on the book cover were not expected. The Seller should look into this