Introductory Econometrics: A Modern Approach

by Jeffrey M. Wooldridge

Introductory Econometrics 5th Edition International Edition (Wooldridge)

Genres: Economics, Textbooks, Nonfiction, Mathematics, Academic, Business, Reference

888 pages, Hardcover

First published January 1, 1999

Reviews

[Martin Lábaj · Rating 5 out of 5]

Perfect introduction to econometrics. Very well written. It covers all relevant topics for an empirical research. You start as a novice and at the end you can perform serious research and understand the papers based on econometric approach. Few sub-chapters and may be chapters 17 and 18 are hard to follow but otherwise you can have a fun reading the textbook. I would highlight chapter 8 on heteroskedasticity, chapters 13 and 14 on pooled crossed section and panel data, or chapter 15 on Insturmetal variables. You can read them as a novel. You will want to read them through before going to bed and you will be tempted to start some empirical project asap.

[Matt · Rating 5 out of 5]

Having already read Stock and Watson's econometrics book, I do say that I found Wooldridge's simultaneously (1) more technical and challenging and (2) ultimately more useful, especially when working with the provided datasets (if you have R, go ahead and install the 'wooldridge' package when reading this book). Both books covered the same material more-or-less, but I guess it is a question of where your interests and prior knowledge of applied probability and statistics are at before taking a course in econometrics.

[Abe · Rating 2 out of 5]

Dense and unapproachable in subject matter, sure, but also in style and presentation, which rendered this book impossible to learn from. Thanks, internet, for providing this information in clearer and cheaper fashion.

[Joseph · Rating 5 out of 5]

Simply the best undergraduate econometrics textbook available. Formal treatment, complete coverage of most important topics, and some extra math for those inclined (in the appendices).

[Roy · Rating 4 out of 5]

This has been a widely used econometric textbook for a good reason. Econometrics can be a rather daunting subject to learn, but the author does a great job breaking down the seemingly complex formulae in a clear and succinct way coupled with well-chosen examples that help readers think through the underlying notions. I would no doubt strongly recommend this book to anyone who wants an accessible introduction to the subject.

[Patrick Lu 嘉泺 · Rating 5 out of 5]

One entire reading of this textbook equips you with the fundamentals of econometric modelling at the undergraduate level, to which you could begin simple empirical projects with OLS, panel data regressions, time series regressions and more.

Wooldridge goes into the details of modelling and the implications of the formulae to a deeper level than Stock&Watson, with concepts slightly above the bachelor level kept to the chapter appendixes. Many details mentioned in the book are necessary for a full-term course in econometrics, but it sheds light on the complexities of the statistics used that perhaps will not be approached unless in a grad-school class.

If you want a firm and structured understanding of fundamental econometrics, I recommend none other than Wooldridge's rendition of his most excellently elaborated field.

[Tomek Balicki · Rating 2 out of 5]

Big shoutout to Dr. Bob Wen for his 89-video playlist on YouTube, solving and explaining it all

[Francisco Nunes · Rating 5 out of 5]

Great book, I recommend it for people starting in Econometrics. Clear explanations and empirical evidence to see what you learn in action.

This is the book we used in our Introductory Econometrics course and I think it was chosen for very good reasons.

[Petrichor · Rating 4 out of 5]

A great book for learning regression analysis, even for those whose topic is not related to economy (like me).
I only read a section here and a few pages there, but this book helped me out a lot.

It answered a lot of specific questions I had about dummy variables, dealing with heteroskedasticity and others. Some tests are explained in a nice step-by-step manner so that they are easily implementable if no code is available for the platform of your choice.

I can absolutely recommend it.

[Camilla · Rating 5 out of 5]

Thoroughly enjoyed this textbook, which I read instead of going to lectures/ watching videos.

[Alvin Setiawan · Rating 4 out of 5]

Now, THIS is the real textbook. Author really know what's up. I personally think it is well written in format (at least compared to PMBOK). Author provide the fundamental logic or assumption clearly for every approach. Don't understand the theoretical mathematics equation? Fine, juts look at the example and you will get better understanding. Framework for each chapter is also explained flawlessly. Of course for some reason people felt that content is definitely a bit dense. But hey, it's just like the other textbook. Other think is that, a basic knowledge of statistic would be advantageous before start reading this book since I think that statistic in the appendix is not sufficient to help someone new into this.

I'm interested in knowing more about econometrics.

[Emtiaz Hossain Hritan · Rating 5 out of 5]

The whole book is written in a clear and lucid language. Previously, I read Gujrati's book and became frustrated with econometrics. I got A in my graduate Econometrics course at USF using this book. Many of my confusions was cleared. Certainly , this is good for undegrad and masters, not suitable for PhD( as PhD requires more rigorous texts). Btw, plenty of examples to count.

[Amanda · Rating 4 out of 5]

I like that Wooldridge has uploaded all his datasets on the wooldridge R package. This makes it easy to load the datasets and follow along to try out coding the various computer questions he has at the end of each chapter.

[Rúben · Rating 3 out of 5]

Must've read this mess three times now. Can't say that I had a good time. Nor that it was as straightforward as it could've been.

[Waris Ahmad Faizi · Rating 4 out of 5]

Knowledgeble!!!
An important and valuable text book for those who want to learn the basics about Econometrics.
Recommended for every economist.

[Vaibhav Dhabaria · Rating 5 out of 5]

This is my first review, only because I believe this book deserves every bit of acclaim. Very very good book! Anyone who wants to "understand" econometrics, go for this book.

[Max DT]

To be honest, I didn't read all that much of this one. Hence no rating given. This is just for 'records', lol.

[Arnel Catangay jr. · Rating 5 out of 5]

This book is good for starters. Not so mathematical but more on intuition. If you've finished this already, it's time to level up haha!

[Olaf Łozowski · Rating 4 out of 5]

🥲

[Waseem Maki · Rating 5 out of 5]

This is truly an incredible book - especially the way how chapters are organized and presented. The narrative followed in this book makes everyone understands econometrics.

[Sam Enright · Rating 3 out of 5]

I found this book boring even by the standards of econometrics textbooks. Quite possibly I’m the problem

[Moon Na · Rating 4 out of 5]

I use this book instead of the required text my lecturer suggested, but it gives me more than I hope. Difficult definitions, formula, models are explained in detailed and clearly although Woolridge cancelled mostly rigorious proofs. However, my course focuses on practicing (applied econ) so it's still ok. :-)
The appendix is pretty helpful to review statistical problems in comparison with its length.

[Brian · Rating 5 out of 5]

OK, I didn't actually read this one... :)

[Thomas Tony · Rating 4 out of 5]

this book most help to study, and give me more trick... ^_^

[Richard Knepper · Rating 3 out of 5]

Legible, but rough on the eyes...

[Sergey Alexeev · Rating 5 out of 5]

Awesome!
No need to look further, this is exactly what you need to make sense out of econometrics!

[Lauren · Rating 2 out of 5]

This book was very confusing. I think some more illustrations and charts would have helped make some of the theoretical stuff easier to understand.

[Connor Oswald · Rating 4 out of 5]

Very clear

[Ha Nguyen · Rating 5 out of 5]

Đọc điên đầu, quắn quéo não.

[Aaron]

god I hate this book