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Student Solutions Manual To Accompany Basic Econometrics Second edition
Student Solutions Manual To Accompany Basic Econometrics Second edition contains of:
1. The nature of regression analysis, pp. 1
2. Two-Variable regression analysis: some basic ideas, pp. 2
3. two-variable regression model: the problem of estimation, pp. 22
4. The normality assumption: classical normal linear regression model, pp. 34
5. Two-variable regression : interval estimation and hypothesis testing, pp. 35
6. Extensions of the two-variable linear regression model, pp. 43
7. Multiple regression analysis: the problem of estimation, pp. 54
8. Multiple regression analysis: the problem of inference, pp. 68
9. The matrix approach to linear regression model, pp. 85
10. Multicollinearity, pp. 95
11. Heteroscedasticity, pp. 109
12. Autocorrelation, pp. 124
13. Model Specification, pp. 139
14. Regression on dummy variables, pp. 148
15. Regression on Dummy dependent variable: the LPM, Logit, and Probit Models, pp. 161
16. Autoregressive and distributed log models, pp. 170
17. Simultaneous-Equation Models, pp. 182
18. The identification problem, pp. 187
19. Simultaneous-equation methods, pp. 197
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