02958 a2200229 450000500170000000800410001702000180005804000150007604100080009108200200009910000230011924500840014225000120022626000310023830000090026952022140027865000170249270000220250994200070253199900190253895201710255720190819113652.0190814b xxu||||| |||| 00| 0 eng d a9789332584914 cIIT Kanpur aeng a330.154bSt94p7 aStudenmund, A. H. aA practical guide to using econometricscA. H. Studenmund and Bruce K. Johnson a7th ed. bPearson Indiac2017aNoida a572p aUsing Econometrics: A Practical Guide offers students an innovative introduction to elementary econometrics. Through real-world examples and exercises, the book covers the topic of single-equation linear regression analysis in an easily understandable format.
The Seventh Edition is appropriate for all levels: beginner econometric students, regression users seeking a refresher, and experienced practitioners who want a convenient reference. Praised as one of the most important texts in the last 30 years, the book retains its clarity and practicality in previous editions with a number of substantial improvements throughout.
• The book’s intuitive approach omits matrix algebra and relegates proofs and calculus to the footnotes or exercises to make core concepts easier to grasp.
• An example-oriented approach helps students practice and understand applied economics.
• New! Expanded econometric content includes new tests and procedures, such as the Breusch-Pagan test and the Weinstein-Prais Approach to Generalized Least Squares.
• New! Stata, the economic software package of choice among economists, is used throughout the text. All text examples and exercises are estimated with Stata, and an explanation of the software is included in the appendix and on the website.
• Interactive Regression Learning Exercises help students simulate economic analysis by giving them feedback on various decisions without much computer time or instructor supervision.
• Updated! Answers to exercises in the text have been tripled and can be found in the appendices, allowing students to learn on their own.
Table of Contents
1. An Overview of Regression Analysis
2. Ordinary Least Squares
3. Learning to Use Regression Analysis
4. The Classical Model
5. Hypothesis Testing and Statistical Inference
6. Specification: Choosing the Independent Variables
7. Specification: Choosing a Functional Form
8. Multicollinearity
9. Serial Correlation
10. Heteroscedasticity
11. Running Your Own Regression Project
12. Time-Series Models
13. Dummy Dependent Variable Techniques
14. Simultaneous Equations
15. Forecasting
16. Experimental and Panel Data
Appendix A: Answers
Appendix B: Statistical Tables. aEconometrics aJohnson, Bruce K. cBK c560667d560667 0010406330_154000000000000_ST94P7708GEN9899349aIITKbIITKd2019-08-26e77g410.00l3m2o330.154 St94p7pA184623q2021-01-29r2020-02-07s2020-02-07v410.00yBK