CONTENTS
  
  PREFACE iii 
  
  SUGGESTED COURSE OUTLINES iv 
  
  Chapter 1 The Nature of Econometrics and Economic Data 1 
  
  Chapter 2 The Simple Regression Model 5 
  
  Chapter 3 Multiple Regression Analysis: Estimation 15 
  
  Chapter 4 Multiple Regression Analysis: Inference 28 
  
  Chapter 5 Multiple Regression Analysis: OLS Asymptotics 39 
  
  Chapter 6 Multiple Regression Analysis: Further Issues 44 
  
  Chapter 7 Multiple Regression Analysis With Qualitative 59
  Information: Binary (or Dummy) Variables 
  
  Chapter 8 Heteroskedasticity 75 
  
  Chapter 9 More on Specification and Data Problems 86 
  
  Chapter 10 Basic Regression Analysis With Time Series Data 95 
  
  Chapter 11 Further Issues in Using OLS With Time Series Data 106 
  
  Chapter 12 Serial Correlation and Heteroskedasticity in 117
  Time Series Regressions 
  
  Chapter 13 Pooling Cross Sections Across Time. Simple 127
  Panel Data Methods 
  
  Chapter 14 Advanced Panel Data Methods 140 
  
  Chapter 15 Instrumental Variables Estimation and Two Stage 152
  Least Squares
  
  Chapter 16 Simultaneous Equations Models 168 
  
  Chapter 17 Limited Dependent Variable Models and Sample 181
  Selection Corrections
  
  Chapter 18 Advanced Time Series Topics 200 
  
  Chapter 19 Carrying Out an Empirical Project 215 
  
  Appendix A Basic Mathematical Tools 216
  
  Appendix B Fundamentals of Probability 218
  
  Appendix C Fundamentals of Mathematical Statistics 220 
  
  Appendix D Summary of Matrix Algebra 224
  
  Appendix E The Linear Regression Model in Matrix Form 226