Econometric Analysis of Cross Section and Panel Data, Second Edition [Print Replica] [Kindle Edition] Author: Jeffrey M. Wooldridge | Language: English | ISBN:
B007CNRAHY | Format: PDF, EPUB
Download Econometric Analysis of Cross Section and Panel Data, Second Edition
Download for free books Download Econometric Analysis of Cross Section and Panel Data, Second Edition for everyone book with Mediafire Link Download Link The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. Books with free ebook downloads available Download Econometric Analysis of Cross Section and Panel Data, Second Edition
- File Size: 14178 KB
- Print Length: 1096 pages
- Publisher: MIT Press; second edition edition (February 1, 2011)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B007CNRAHY
- Text-to-Speech: Not enabled
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- Lending: Enabled
- Amazon Best Sellers Rank: #302,918 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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In my opinion, this is now the best introduction to cross-section econometrics. Wooldridge covers all the basics, he does it very well, with a lot of attention to empirical applications. Most of the empirical applications can be replicated using Stata datasets that you can download from his web page. One thing I love about this textbook is that robust versions of variance matrices are almost always provided, so one does not have to rely much on homoskedasticity. This is also one of the very very few textbooks to devote some space to important topics such as stratified sampling, clustering, weak instruments. The exposition is generally excellent, with intuition provided, and proofs rigorous enough for beginners, even if the most technical details are usually left out. Sometimes I find Wooldridge style a bit disorganized in the way he orders topics within a chapter, but overall I do think this is a great book, and the best introduction to the topic. I never liked Greene, which devotes too much space to irrelevant topics. Ruud is a good book too, but very technical, and probably one that you want to keep as a "backup". Hayashi is very nice too, but a bit unusual, with its strong emphasis on assumptions such as stationariy and ergodicity that are important in time-series (not covered AT ALL in Wooldridge). Amemiya is still a great reference, but it's too advanced for beginners. Overall, I highly recommend this book.
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