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Introductory Econometrics: A Modern Approach(Original)
作者：
Jeffrey M Wooldridge
分類：
外文書籍
／
綜論
出版社：
Cengage 總公司
出版日期：2016/4/1
ISBN：9781305270107
書籍編號：kk0486179
頁數：789
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Introductory Econometrics: A Modern Approach(Original) 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 PowerPointR and Scientific WordR 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.
Jeffrey M Wooldridge 作者：Jeffrey M. Wooldridge 現職：Michigan State University
Ch 1 The Nature of Econometrics and Economic Data PART I: REGRESSION ANALYSIS WITH CROSS-SECTIONAL DATA Ch 2 The Simple Regression Model Ch 3 Multiple Regression Analysis: Estimation Ch 4 Multiple Regression Analysis: Inference Ch 5 Multiple Regression Analysis: OLS Asymptotics Ch 6 Multiple Regression Analysis: Further Issues Ch 7 Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables Ch 8 Heteroskedasticity Ch 9 More on Specification and Data Problems PART II: REGRESSION ANALYSIS WITH TIME SERIES DATA Ch10 Basic Regression Analysis with Time Series Data Ch11 Further Issues in Using OLS with Time Series Data Ch12 Serial Correlation and Heteroskedasticity in Time Series Regressions PART III: ADVANCED TOPICS Ch13 Pooling Cross Sections Across ime: Simple Panel Data Methods Ch14 Advanced Panel Data Methods. Ch15 Instrumental Variables Estimation and Two Stage Least Squares Ch16 Simultaneous Equations Models. Ch17 Limited Dependent Variable Models and Sample Selection Corrections Ch18 Advanced Time Series Topics Ch19 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
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