000			nam a22 7a 4500
999			_c121523 _d121523
003			OSt
005			20201231111617.0
008			201231b ||||| |||| 00| 0 eng d
020			_a9788131524657
040			_c
082			_a330.015195 _bWOO
100			_aWooldridge, Jeffrey M. _953148
245			_aIntroductory Econometrics: A Modern Approach
250			_a5th ed
260			_aOhio _bSouth-Western Cengage Learning _c2013
300			_a878p
500			_a1. The Nature of Econometrics and Economic Data. Part I: REGRESSION ANALYSIS WITH CROSS-SECTIONAL 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 Heteroscedasticity in Time Series Regressions. Part III: ADVANCED TOPICS. 13. Pooling Cross Sections across Time: Simple Panel Data Methods. 14. Advanced Panel Data Methods. 15. Instrumental Variables Estimation and Two Stage Least Squares. 16. Simultaneous Equations Models. 17. Limited Dependent Variable Models and Sample Selection Corrections. 18. Advanced Time Series Topics. 19. Carrying out an Empirical Project.
600			_aEconometrics _953149
942			_2ddc _cLB _k330.015195 _mWOO