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英文版 目录如下：
Chapter 1 The Nature of Econometrics and Economic Data 1
Part 1: Regression Analysis with Cross-Sectional Data 19
Chapter 2 The Simple Regression Model 20
Chapter 3 Multiple Regression Analysis: Estimation 60
Chapter 4 Multiple Regression Analysis: Inference 105
Chapter 5 Multiple Regression Analysis: OLS Asymptotics 149
Chapter 6 Multiple Regression Analysis: Further Issues 166
Chapter 7 Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables 205
Chapter 8 Heteroskedasticity 243
Chapter 9 More on Specification and Data Issues 274
Part 2: Regression Analysis with Time Series Data 311
Chapter 10 Basic Regression Analysis with Time Series Data 312
Chapter 11 Further Issues in Using OLS with Time Series Data 344
Chapter 12 Serial Correlation and Heteroskedasticity in Time Series Regressions 372
Part 3: Advanced Topics 401
Chapter 13 Pooling Cross Sections Across Time: Simple Panel Data Methods 402
Chapter 14 Advanced Panel Data Methods 434
Chapter 15 Instrumental Variables Estimation and Two Stage Least Squares 461
Chapter 16 Simultaneous Equations Models 499
Chapter 17 Limited Dependent Variable Models and Sample Selection Corrections 524
Chapter 18 Advanced Time Series Topics 568
Chapter 19 Carrying Out an Empirical Project 605
Appendices
Appendix A Basic Mathematical Tools 628
Appendix B Fundamentals of Probability 645
Appendix C Fundamentals of Mathematical Statistics 674
Appendix D Summary of Matrix Algebra 709
Appendix E The Linear Regression Model in Matrix Form 720
Appendix F Answers to Chapter Questions 734
Appendix G Statistical Tables 743
References 750
Glossary 756
Index 771
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