FRANCO PERACCHI ECONOMETRICS PDF

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Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? In Econometrics the author has provided a text that bridges the gap between classical econometrics with an emphasis on linear methods such as OLS, GLS and instrumental variables and some of the key research areas of the last few years, including sampling problems, nonparametric methods and panel data analysis. Designed for advanced undergraduates and postgraduate students of the subject, Econometrics provides rigorous, yet accessible, coverage of the subject.

Key features include: aeo A unified approach to statistical estimation emphasising the analogy or bootstrap principle aeo An introduction to bootstrap and jackknife methods for assessing the accuracy of an estimator aeo Detailed discussion of nonparametric methods for estimating density and regression of functions aeo Emphasis on diagnostic procedures and on prediction criteria for evaluating the results fo statistical analysis aeo An introduction to linear exponential family and generalized linear models aeo A thorough discussion of robustness in statistical sense.

Read more Read less. From the Back Cover In Econometrics the author has provided a text that bridges the gap between classical econometrics with an emphasis on linear methods such as OLS, GLS and instrumental variables and some of the key research areas of the last few years, including sampling problems, nonparametric methods and panel data analysis.

Designed for advanced undergraduate and postgraduate students of the subject, Econometrics provides rigorous, yet accessible, coverage of the subject.

His research interests include econometric theory and methods, nonparametric and robust statistical methods, and labour economics. His work has been published in leading econometric and statistical journals.

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Most helpful customer reviews on Amazon. Verified Purchase. Book in rather good conditions, the cover is just al little scratched but the interior is pretty good. Well done! I personally find the book reasonably good. The book is rigorous, and provides sound theoretical foundations, although it contains a few typos.

The book also contains some extensive survey of frontier topics, such as nonparametric estimation and adpative estimation, which is another plus of this book. I personally learned a lot from this book. There are some shortcomings, though.

First, the book may be too difficult or too mathematical for beginners. It should be used for students who have taken an introductory econometric course at the graduate level. Second, it is currently too expensive. Third, there are not many applications or examples. Go to Amazon. Back to top. Get to Know Us. Shopbop Designer Fashion Brands. Alexa Actionable Analytics for the Web. DPReview Digital Photography.

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Franco Peracchi

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Econometrics

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