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Practical Econometrics: data collection, analysis, and application (The Mcgraw-hill/Irwin Series in Economics)
PDF Download Practical Econometrics: data collection, analysis, and application (The Mcgraw-hill/Irwin Series in Economics)
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Product details
Series: The Mcgraw-hill/Irwin Series in Economics
Hardcover: 544 pages
Publisher: McGraw-Hill Education; 1 edition (October 8, 2013)
Language: English
ISBN-10: 0073511412
ISBN-13: 978-0073511412
Product Dimensions:
9.1 x 1 x 10.9 inches
Shipping Weight: 3 pounds (View shipping rates and policies)
Average Customer Review:
3.8 out of 5 stars
5 customer reviews
Amazon Best Sellers Rank:
#408,060 in Books (See Top 100 in Books)
Pretty well written and easy to follow.
I'm sorry this is the worst book on text statistics I've ever come across. If your teacher says this is "optional" don't buy it, complete waste of money!
great!!!
This is a clearly written book on empirical data analysis that is equally valuable for both academics as well as working professionals. The authors of this book avoided matrix algebra and calculus in presenting the complex econometric models. The book stands out by its intuitive approach using many examples and without any sophisticated mathematics.While doing empirical analysis, we often use the same kinds of solutions (or models) over and over again, and call a given solution (model) as tool and collection of solutions as toolkit. This book, a reference manual to econometrician's toolkit, explains the solution (tool) to use for a given empirical analysis problem using "Empirical Research Tool Box". Each tool box explains goal, implementation and correct interpretation of a given tool.The toolkit covers advanced econometrics models for time series, categorical and panel data analysis.The book presents an integrated approach on how to conduct and write up an empirical research project. Starting with data collection and management, it delves into how to describe the data, present the empirical results and conclusion.Also Excel as the choice of data analysis tool makes this book very approachable, easy to adopt and become immediately productive even for non-statisticians. Stata commands are given for all the models in the toolkit.
This is a great book for those interested in learning econometrics from an applied standpoint. Like other reviewers said, it avoids matrix algebra and calculus, making it a great book for an applied regression or basic econometrics course for MBA students interested in making better data-driven decisions.
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