中文名: 計量經濟學導論
原名: Introductory Econometrics: A Modern Approach
作者: 傑弗裡·M·伍德裡奇 Jeffrey M. Wooldridge
圖書分類: 經濟
資源格式: PDF
版本: 文字版
出版社: South-Western College Pub
書號: 978-0324581621
發行時間: 2008年03月27日
地區: 美國
語言: 英文
簡介:

內容介紹：
NTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 4e International Edition illustrates how empirical researchers think about and apply econometric methods in real-world practice. The text's unique approach reflects the fact that undergraduate econometrics has moved beyond just a set of abstract tools to being genuinely useful for answering questions in business, policy evaluation, and forecasting environments. The systematic approach, which reduces clutter by introducing assumptions only as they are needed, makes absorbing the material easier and leads to better econometric practices. Its unique organization separates topics by the kinds of data being analyzed , leading to an appreciation for the important issues that arise in drawing conclusions from the different kinds of data economists use. Packed with relevant applications, INTRODUCTORY ECONOMETRICS offers a wealth of interesting data sets that can be used to reproduce the examples in the text or as the starting point for original research projects.
作者介紹：
Jeffrey M. Wooldridge is University Distinguished Professor of Economics at Michigan State University and a Fellow of the Econometric Society.
內容截圖：

資源說明：
本資源為Wooldridge所著的《計量經濟學導論——現代觀點》的英文原版 Introductory Econometrics: A Modern Approach 包含第1~4版，其中第1~3版為PDF，第4版為Kindle電子書。均為原文字版電子書。
資源包含第四版中的Data Set，分為Eviews、Stata、Excel和Text四個版本，具體使用說明參照Handbook。各版本的數據集基本相同，僅僅是Handbook略有不同，因此其他版次也可以參考本Data Set。
資源均來自於網絡，大部分來自人大論壇與MSU的教學資源網，我整理分類整理了一下，在這裡發布。資源不是很全，歡迎大家補充。
各版封面：
為了方便大家雙面打印，各文檔均不含封面，各版封面附在這裡：
第一版(1st Edition)

第二版(2nd Edition)

第三版(3rd Edition)

第四版(4th Edition)

附注：
中文版請各位支持正版，購買正版圖書。
對於一千多一本的英文原版，不支持也罷。
資源均來自於網絡，也歡迎各位同學補充手裡有的資源
目錄:
1. The Nature of Econometrics and Economic Data.
PART 1: REGRESSION ANALYSIS WITH CROSS-SECTIONAL DATA.
2. The Simple Regression Model.
3. Multiple Regression Analysis: Estimation.
4. Multiple Regression Analysis: Inference.
5. Multiple Regression Analysis: OLS Asymptotics.
6. Multiple Regression Analysis: Further Issues.
7. Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables.
8. Heteroskedasticity.
9. More on Specification and Data Problems.
PART 2: REGRESSION ANALYSIS WITH TIME SERIES DATA.
10. Basic Regression Analysis with Time Series Data.
11. Further Issues in Using OLS with Time Series Data.
12. Serial Correlation and Heteroskedasticity in Time Series Regressions.
PART 3: ADVANCED TOPICS.
13. Pooling Cross Sections across Time: Simple Panel Data Methods.
14. Advanced Panel Data Methods.
15. Instrumental Variables Estimation and Two Stage Least Squares.
16. Simultaneous Equations Models.
17. Limited Dependent Variable Models and Sample Selection Corrections.
18. Advanced Time Series Topics.
19. Carrying out an Empirical Project.
APPENDICES.
Appendix A: Basic Mathematical Tools.
Appendix B: Fundamentals of Probability.
Appendix C: Fundamentals of Mathematical Statistics.
Appendix D: Summary of Matrix Algebra.
Appendix E: The Linear Regression Model in Matrix Form.
Appendix F: Answers to Chapter Questions.
Appendix G: Statistical Tables.
References.
Glossary.
Index.