Business & Economics

Business & Economics

상품 썸네일

돋보기
  • 페이스북
  • 구글
  • 트위터
  • 카카오톡

Introductory Econometrics

Wooldridge 지음 | 2016

ISBN 9781305270107 (130527010X)
Author Wooldridge
Copyright 2016
Edition 6E
Page 912쪽
Size 8 x 10
Bookseller 박영사
자세히보기
  • 판매처박영사
  • Tel02 733 6771
  • Fax02 736 4818

* 교재는 판매처를 통해 구매하실 수 있습니다.

닫기
책소개 목차 특징 강의자료
* 국내에서는 CTE Edition이 공급되고 있습니다. ISBN 정보: 9789814732031 / Demonstrate how empirical researchers apply econometric methods to answer questions across a variety of disciplines. The practical, professional approach in Wooldridge’s INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E is organized around the type of data being analyzed, using a systematic approach that introduces assumptions only when needed to obtain a certain result. This approach is easier for students to comprehend. Timely applications and examples demonstrate impact on policy and support or disprove economic theories. More than 100 data sets are available in six formats for your flexibility.

New and revised author-written resources include an Instructor’s Manual with Solutions, teaching tips, suggestions for using data files, updated PowerPoint® and Scientific Word® slides, and a current Data Set Handbook with the latest developments. Give students a full understanding of how econometrics answers questions in business, policy evaluation, and forecasting with INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E.
1. The Nature of Econometrics and Economic Data.
Part I: 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 II: 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 III: 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 Exploring Further Chapter Exercises.
Appendix G: Statistical Tables.
References.
Glossary.
Index.
UP-TO-DATE COVERAGE HIGHLIGHTS THE LATEST EMERGING DEVELOPMENTS IN THE FIELD. Updated examples throughout this edition and coverage of the latest advances in econometrics today clearly illustrate how chapter concepts apply and add value to actual practice
CS-EBK: INTRODUCTORY ECONOMETRICS, 006e, 9781305447776 3P-EBK:INTRODUCTORY ECONOMETRICS, 006e, 9781305446380 Cengage Learning Testing, powered by Cognero® Instant Access for Wooldridge's Introductory Econometrics: A Modern Approach, 006e, 9781305404199 Ce