9780538850131

Introductory Econometrics A Modern Approach

by
  • ISBN13:

    9780538850131

  • ISBN10:

    0538850132

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 8/6/1999
  • Publisher: South-Western College Pub
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Summary

The modern approach of this text recognizes that econometrics has moved from a specialized mathematical description of economics to an applied interpretation based on empirical research techniques. It bridges the gap between the mechanics of econometrics and modern applications of econometrics by employing a systematic approach motivated by the major problems facing applied researchers today. Throughout the text, the emphasis on examples gives a concrete reality to economic relationships and allows treatment of interesting policy questions in a realistic and accessible framework.

Table of Contents

Chapter 1 The Nature of Econometrics and Economic Data
1(20)
PART 1 REGRESSION ANALYSIS WITH CROSS-SECTIONAL DATA 21(289)
Chapter 2 The Simple Regression Model
22(44)
Chapter 3 Multiple Regression Analysis: Estimation
66(47)
Chapter 4 Multiple Regression Analysis: Inference
113(49)
Chapter 5 Multiple Regression Analysis: OLS Asymptotics
162(16)
Chapter 6 Multiple Regression Analysis: Further Issues
178(33)
Chapter 7 Multiple Regression Analysis With Qualitative Information: Binary (or Dummy) Variables
211(37)
Chapter 8 Heteroskedasticity
248(30)
Chapter 9 More on Specification and Data Problems
278(32)
PART 2 REGRESSION ANALYSIS WITH TIME SERIES DATA 310(97)
Chapter 10 Basic Regression Analysis With Time Series Data
311(36)
Chapter 11 Further Issues in Using OLS with Time Series Data
347(29)
Chapter 12 Serial Correlation and Heteroskedasticity in Time Series Regressions
376(31)
PART 3 ADVANCED TOPICS 407(236)
Chapter 13 Pooling Cross Sections Across Time. Simple Panel Data Methods
408(33)
Chapter 14 Advanced Panel Data Methods
441(20)
Chapter 15 Instrumental Variables Estimation and Two Stage Least Squares
461(40)
Chapter 16 Simultaneous Equations Models
501(28)
Chapter 17 Limited Dependent Variable Models and Sample Selection Corrections
529(42)
Chapter 18 Advanced Time Series Topics
571(45)
Chapter 19 Carrying Out an Empirical Project
616(27)
APPENDICES 643(148)
Appendix A Basic Mathematical Tools 643(21)
Appendix B Fundamentals of Probability 664(35)
Appendix C Fundamentals of Mathematical Statistics 699(45)
Appendix D Summary of Matrix Algebra 744(11)
Appendix E The Linear Regression Model in Matrix Form 755(10)
Appendix F Answers to Chapter Questions 765(13)
Appendix G Statistical Tables 778(13)
Glossary 791(16)
Index 807

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