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Introductory Econometrics by Jeffrey Wooldridge
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      • Product code: 23167
      • ISBN: 0324323484, ISBN13: 9780324323481, 912 pages, hardback
        Published by South-Western on 2005 , International ed
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      Description of Introductory Econometrics

      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.

      Contents of Introductory Econometrics

      1. The Nature of Econometrics and Economic Data

      PART I: REGRESSION ANALYSIS WITH CROSS SECTION DATA

      2. The Simple Regression Model
      3. Multiple Regression Analysis: Estimation
      4. Multiple Regression Analysis: Inference
      5. Multiple Regression Analysis: OLS Asymptotics
      6. Multiple Regression Analysis: Further Issues
      7. Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables
      8. Heteroskedasticity
      9. More on Specification and Data Problems


      PART II: REGRESSION ANALYSIS WITH TIME SERIES DATA

      10. Basic Regression Analysis with Time Series Data
      11. Further Issues in Using OLS with Time Series Data
      12. Serial Correlation and Heteroskedasticity in Time Series Regressions


      PART III: ADVANCED TOPICS

      13. Polling Cross Sections Across Time: Simple Panel Data Methods
      14. Advanced Panel Data Methods
      15. Instrumental Variables Estimation and Two State Least Squares
      16. Introduction to Simultaneous Equations Models
      17. Limited Dependent Variable Models and Sample Selection Corrections
      18. Advanced Time Series Topics
      19. Carrying Out an Empirical Project


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