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Chapter 1 The Nature of Econometrics and Economic Data 1

PART 1: Regression Analysis with Cross-Sectional Data 23

Chapter 2 The Simple Regression Model 24

Chapter 3 Multiple Regression Analysis: Estimation 73

Chapter 4 Multiple Regression Analysis: Inference 123

Chapter 5 Multiple Regression Analysis: OLS Asymptotics 176

Chapter 6 Multiple Regression Analysis: Further Issues 192

Chapter 7 Multiple Regression Analysis with Qualitative Information:Binary (or Dummy) Variables 230

Chapter 8 Heteroskedasticity 271

Chapter 9 More on Specification and Data Problems 304

PART 2: Regression Analysis with Time Series Data 341

Chapter 10 Basic Regression Analysis with Time Series Data 342

Chapter 11 Further Issues in Using OLS with Time Series Data 380

Chapter 12 Serial Correlation and Heteroskedasticity in Time Series Regressions 412

PART 3: Advanced Topics 447

Chapter 13 Pooling Cross Sections Across Time: Simple Panel Data Methods 448

Chapter 14 Advanced Panel Data Methods 485

Chapter 15 Instrumental Variables Estimation and Two Stage Least Squares 510

Chapter 16 Simultaneous Equations Models 552

Chapter 17 Limited Dependent Variable Models and Sample Selection Corrections 582

Chapter 18 Advanced Time Series Topics 632

Chapter 19 Carrying out an Empirical Project 678

APPENDICES 707

Appendix A Basic Mathematical Tools 707

Appendix B Fundamentals of Probability 728

Appendix C Fundamentals of Mathematical Statistics 763

Appendix D Summary of Matrix Algebra 808

Appendix E The Linear Regression Model in Matrix Form 819

Appendix F Answers to Chapter Questions 834

Appendix G Statistical Tables 847

References 854

Glossary 859

Index 873