000			02163nam a22002177a 4500
003			OSt
005			20230530182830.0
008			230530b |||||||| |||| 00| 0 eng d
020			_a9781292231136
040			_aBUL _beng. _cBUL _dBUL
082			_28th Edition _a330.01519 _bGRE
100			_aGreene, William H.
245			_aEconometric Analysis
250			_aGlobal Edition: 8th Edition
260			_aLondon _bPearson Education _c2020
300			_a1166 P:, _bill; _c24cm
500			_aTable of Contents PART I. The Linear Regression Model 1.Econometrics 2. The Linear Regression Model 3. Least Squares 4. Estimating the Regression Model by Least Squares 5. Hypothesis Tests and Model Selection 6. Functional Form, Difference in Differences and Structural Change 7. Nonlinear, Semiparametric and Nonparametric Regression Models 8. Endogeneity and Instrumental Variable Estimation PART II. Generalized Regression Model and Systems of Equations 9. The Generalized Regression Model and Heteroscedasticity 10. Systems of Regression Equations 11. Models for Panel Data PART III. Estimation Methodology 12. Estimation Frameworks in Econometrics 13. Minimum Distance Estimation and the Generalized Method of Moments 14. Maximum Likelihood Estimation 15. Simulation-Based Estimation and Inference and Random Parameter Models 16. Bayesian Estimation and Inference PART IV. Cross Sections, Panel Data and Microeconometrics 17. Binary Outcomes and Discrete Choices 18. Multinomial Choices and Event Counts 19. Limited Dependent Variables, Truncation, Censoring and Sample Selection PART V. Time Series and Macroeconometrics 20. Serial Correlation 21. Nonstationary Data PART VI. Appendices Appendix A: Matrix Algebra Appendix B: Probability and Distribution Theory Appendix C: Estimation and Inference Appendix D: Large Sample Distribution Theory Appendix E: Computation and Optimization Appendix F: Data Sets Used In Applications
600			_2Econometric Analysis : Global Edition
700			_aGreene, William H.
942			_2ddc _cBOOK-CA _e8th Edition _h330.01519 _iGRE _kGRE _mGRE
999			_c14542 _d14542