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Introductory Econometrics: A Modern Approach (with Economic Applications, Data Sets, Student Solutions Manual Printed Access Card)

Introductory Econometrics: A Modern Approach (with Economic Applications, Data Sets, Student Solutions Manual Printed Access Card)Author: Jeffrey Wooldridge
Publisher: South-Western College Pub

List Price: $186.95
Buy New: $100.00
as of 3/15/2010 07:40 CDT details
You Save: $86.95 (47%)



New (35) Used (22) from $100.00

Seller: Dhiti Nanavati
Rating: 5.0 out of 5 stars 6 reviews
Sales Rank: 28292

Media: Hardcover
Edition: 4
Pages: 888
Number Of Items: 1
Shipping Weight (lbs): 3.4
Dimensions (in): 9.8 x 7.5 x 1.3

ISBN: 0324581629
Dewey Decimal Number: 330.015195
EAN: 9780324581621
ASIN: 0324581629

Publication Date: March 27, 2008
Availability: Usually ships in 1-2 business days

Also Available In:

  • Hardcover - Introductory Econometrics
  • Paperback - Introductory Econometrics
  • Kindle Edition - Introductory Econometrics: A Modern Approach, 4th Edition
  • Paperback - Introductory Econometrics: Student's Manual
  • Paperback - Introductory Econometrics
  • Paperback - Introductory Econometrics: A Modern Approach

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Editorial Reviews:

Product Description
INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 4e illustrates how empirical researchers think about and apply econometric methods in real-world practice. The text's unique approach reflects the fact that undergraduate econometrics has moved beyond just a set of abstract tools to being genuinely useful for answering questions in business, policy evaluation, and forecasting environments. The systematic approach, which reduces clutter by introducing assumptions only as they are needed, makes absorbing the material easier and leads to better econometric practices. Its unique organization separates topics by the kinds of data being analyzed, leading to an appreciation for the important issues that arise in drawing conclusions from the different kinds of data economists use. Packed with relevant applications, INTRODUCTORY ECONOMETRICS offers a wealth of interesting data sets that can be used to reproduce the examples in the text or as the starting point for original research projects.


Customer Reviews:
Showing reviews 1-5 of 6



5 out of 5 stars Lets vote this one the most helpful review   January 24, 2010
Doug Bujakowski
2 out of 3 found this review helpful

I'm a student at osu majoring in actuarial science and economics (actuarial science is a math finance thing... i get this question a lot) and so I have read through several math, statistics and econ texts. This is by far the best one i have ever come across. This is my one and only review on amazon and i am only writing it because i feel so compelled to tell you guys about it and express my over exuberance for finding a good math book. The price is ridiculous and so i suggest you try to find a used copy or an international edition (which may or may not be legal). Anyhow hopefully the author occasionally checks his amazon reviews of his book and if he does i hope this inspires you to write more math books.


5 out of 5 stars Great for Self Study   December 13, 2009
Mango the Dog (Los Angeles)
1 out of 1 found this review helpful

I bought this text so that I could understand/interpret results and methodology in empirical business research papers. Unlike most statistic-related books I've seen over the years, this text is actually clear and focuses on providing great explanations and examples rather than proofs and derivations. Thus, this book is a great choice for self study, and it's been a huge help thus far in my PhD program.


4 out of 5 stars Graduate School   December 12, 2009
Student 4 ever (DC)
0 out of 1 found this review helpful

Recently completed a 10-week / 2-credit graduate-level course where we used this textbook for 80% of the course work. I believe they used up the entire Greek alphabet! I have read dozens of text books and this one is definitely above-average; it may be in the top quartile.


5 out of 5 stars Textbook that can be used for practicing social scientists   October 28, 2009
Jackal (Singapore)
2 out of 4 found this review helpful

It is strange how economists talk about econometrics when they mean simple statistics and regression. This book is an excellent textbook on introductory regression analysis with a focus on application rather than proof. It can be put to good use by practicing social scientists as well. If you are an economist you are likely to have access to timeseries data, which normally require more complicated analysis. This book only touches upon timeseries. However, if you are any other type of social scientist, chances are very high that you would find this book very valuable together with Cohen et al's Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, Third Edition. These two books cover pretty much similar ground, but exist within two very different academic silos. If you buy both books you will have a good basis to stand on.


5 out of 5 stars not a natural   May 24, 2009
not a natural (huntington, west virginia United States)
18 out of 19 found this review helpful

I teach a first course in regression analysis to graduate students from a variety of disciplines. With rare exceptions, they take this course under duress, and their background in basic statistics is usually weak. This means that I use a lot of relatively simple examples, gradually becoming more complex as we move through the material. Functional redundancy -- saying the same thing in a variety of ways -- is also indispensable. Furthermore, I spend very little time on derivations, and try to begin doing simple problems with SPSS software by the second or third meeting.

Given this approach to fairly complex material, it is difficult to find a suitable textbook. For several years I used Gujarati's basic econometrics text and found it useful. Gujarati, however, takes a very long time to get to multiple regression, first covering the assumptions which apply to all applications of OLS regression and offering only simple regression equations for illustrative purposes.

A primary virtue of Wooldridge's basic text is that he introduces substantively interesting problems -- those using more than one independent variable -- early on. The OLS assumptions and remedies for their violation are still given excellent coverage, but this is integrated effectively throughout the book.

Wooldridge's text is a bit more difficult than Gujarati's, but it's not densely mathematical, focusing instead on practical problems. With a little guidance students acquire a very thorough grounding in regression analysis with Wooldridge's basic text. It covers a sufficiently broad range of topics, moreover, that I have found it valuable for self-instructional purposes. (If only it weren't so expensive.)


Showing reviews 1-5 of 6





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