000			01759nam a2200157Ia 4500
999			_c152777 _d152777
020			_a9780674175440
040			_cCUS
082			_a330.015195 _bGOL/A
100			_aGoldberger, Arthur S. _921897
245		2	_aA course in econometrics/ _cArthur S. Goldberger
260			_aCambridge: _bHarvard University Press, _c1991.
300			_axvii, 405 p. : _bill. ; _c25 cm.
505			_a1. Emprical Relations -- 2. Unvariate Probability Distributions -- 3. Expectaitions: Unvariate Case -- 4. Bivariate Probability Distributions -- 5. Expectations: Bivariate Case -- 6. Independence in Bivariate Distribution -- 7. Normal Distributions -- 8. Sampling Distributions: Unvvariate Cse -- 9. Asymptothic Distribution Theory -- 10. Sampling Distributions: Unvariate Case -- 11. Parameter Estimation-- 12. Advanced Estimation Theory-- 13. Estimationg a Population Relation -- 14. Multiple Regression-- 15. Classical Regression -- 16. Classical Regression: Interpretation and Application -- 17. Regression Algebra-- 18. Multivariable Normal Distribution-- 19. Classical Normal Regression -- 20. CNR MODEL: Hypothesis Testing-- 21. CNR MODEL: Inference with Variance 2 Unknown -- 22. Issues in Hypothesis Testing -- 23. Multicollineariity -- 24. Regression Strategies -- 25. Regression with X Random -- 26. TTime Series -- 27. Generalized Classical Regression-- 28. Heteroskedasticity and Autocorrolation -- 29. Nonlinear Regression -- 30. Regression Systems -- 31. Structural Equation Models-- 32. Simultaneous-Equation Model-- 33. Identification and Restrictions-- 34. Estimation in the Simultaneous-Equation Model-- Appendix A. Statistical and Data Tables-- Appendix B. Getting Started in GAUSS -- References -- Index.
650			_aEconometrics _94628
942			_cWB16 _04