Essential Statistics, Regression, and Econometrics

by Gary Smith

Overview

Essential Statistics, Regression, and Econometrics provides students with a readable, deep understanding of the key statistical topics they need to understand in an econometrics course. It is innovative in its focus, including real data, pitfalls in data analysis, and modeling issues (including functional forms, causality, and instrumental variables). This book is unusually readable and non-intimidating, with extensive word problems that emphasize intuition and understanding. Exercises range from easy to challenging and the examples are substantial and real, to help the students remember the technique better.

• Readable exposition and exceptional exercises/examples that students can relate to • Focuses on key methods for econometrics students without including unnecessary topics • Covers data analysis not covered in other texts • Ideal presentation of material (topic order) for econometrics course

Product Details

ISBN-13:	9780123822222
Publisher:	Elsevier Science & Technology Books
Publication date:	05/21/2011
Sold by:	Barnes & Noble
Format:	eBook
Pages:	394
File size:	7 MB

About the Author

Gary Smith received his B.S. in Mathematics from Harvey Mudd College and his PhD in Economics from Yale University. He was an Assistant Professor of Economics at Yale University for seven years. He is currently the Fletcher Jones Professor of Economics at Pomona College. He has won two teaching awards and has written (or co-authored) seventy-five academic papers, eight college textbooks, and two trade books (most recently, Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie With Statistics, Overlook/Duckworth, 2014). His research has been featured in various media including the New York Times, Wall Street Journal, Motley Fool, NewsWeek and BusinessWeek. For more information visit www.garysmithn.com.

Table of Contents

Chapter 1.) Data, Data, Data Chapter 2.) Displaying Data Chapter 3.) Descriptive Statistics Chapter 4.) Probability Chapter 5.) Sampling Chapter 6.) Estimation Chapter 7.) Hypothesis Testing Chapter 8.) Simple Regression Chapter 9.) The Art of Regression Analysis Chapter 10.) Multiple Regression Chapter 11.) Modeling (Optional)

What People are Saying About This

From the Publisher

Essential Statistics, Regression, and Econometrics is for a one- or two-semester course given at the junior/senior level and provides students with the help to develop statistical reasoning for econometrics, written in a non-intimidating, readable style.

Editorial Reviews

"It is very well written, and covers the basics clearly and understandably to someone with only high school algebra — nothing more advanced is needed." —MAA Reviews

"I can wholeheartedly recommend this book as an introductory book for a statistics course taught to early undergraduate economics students. It is clear and well-written and contains a wealth of interesting examples, exercises, and historical anecdotes. The author has done an excellent job..." —The Gazette

"I can wholeheartedly recommend this book as an introductory book for a statistics course taught to early undergraduate economics students. It is clear and well-written and contains a wealth of interesting examples, exercises, and historical anecdotes. The author has done an excellent job in elucidating statistical methods in an econometric context." —Gazette of the Australian Mathematical Society

From the Publisher