格林的ECONOMETRIC ANALYSIS(第五版)！！！！

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2005-5-19 23:01:00 上传

格林的ECONOMETRIC ANALYSIS(第五版)！！！！
需要: 100 个论坛币  [购买]

[此贴子已经被gloryfly于2005-8-4 10:25:25编辑过]

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关键词：Econometric Analysis Analysi alysis Metric Analysis 格林 Econometric

太贵了

中文还是英文？

有没有附录部分？如果没有的话在置顶贴中已经有该书下载了，而且没有你这么贵。如果有附录部分，无论如何我都买了。楼主给一个准信！

是英文版，有附录！

确实很全，值得下载。但就是太贵，如果不是遍寻附录不到还真不舍得花这100个大洋。

我都是3个5个的挣，你这一下子就花掉我的100，真心疼啊！

我需要附录，最近做练习，刚好需要附录的数据。

要100，我才30多，能不能便宜一点。

或者你需要那一方面的资料，我传给你。

TO jqya 附录已发给你，请查收！价格定得高一点是不希望有些人将下载的资料改头换面又去二次贩卖，希望大家理解

[此贴子已经被作者于2005-5-21 11:51:06编辑过]

以下是引用zbwxyl在2005-5-21 11:48:26的发言： TO jqya 附录已发给你，请查收！价格定得高一点是不希望有些人将下载的资料改头换面又去二次贩卖，希望大家理解

早知道你可以这样的话,我就跟你交换一下好了，害我花了那么多.

目录

1. Introduction. 2. The Classical Multiple Linear Regression Model. 3. Least Squares. 4. Finite Sample Properties of the Least Squares Estimator. 5. Large Sample Properties of the Least Squares and Instrumental Variables Estimators. 6. Inference and Prediction. 7. Functional Form and Structural Change. 8. Specification Analysis and Model Selection. 9. Nonlinear Regression Models. 10. Nonspherical Disturbances—The Generalized Regression Model. 11. Heteroscedasticity. 12. Serial Correlation. 13. Models for Panel Data. 14. Systems of Regression Equations. 15. Simultaneous-Equations Models. 16. Estimation Frameworks in Econometrics. 17. Maximum Likelihood Estimation. 18. The Generalized Method of Moments. 19. Models with Lagged Variables. 20. Time-Series Models. 21. Models for Discrete Choice. 22. Limited Dependent Variable and Duration Models. 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. Appendix G. Statistical Tables. References. Author Index. Subject Index. 很好，目次

1. Introduction. 2. The Classical Multiple Linear Regression Model. 3. Least Squares. 4. Finite Sample Properties of the Least Squares Estimator. 5. Large Sample Properties of the Least Squares and Instrumental Variables Estimators. 6. Inference and Prediction. 7. Functional Form and Structural Change. 8. Specification Analysis and Model Selection. 9. Nonlinear Regression Models. 10. Nonspherical Disturbances—The Generalized Regression Model. 11. Heteroscedasticity. 12. Serial Correlation. 13. Models for Panel Data. 14. Systems of Regression Equations. 15. Simultaneous-Equations Models. 16. Estimation Frameworks in Econometrics. 17. Maximum Likelihood Estimation. 18. The Generalized Method of Moments. 19. Models with Lagged Variables. 20. Time-Series Models. 21. Models for Discrete Choice. 22. Limited Dependent Variable and Duration Models. 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. Appendix G. Statistical Tables. References. Author Index. Subject Index. 很好，目次

1. Introduction. 2. The Classical Multiple Linear Regression Model. 3. Least Squares. 4. Finite Sample Properties of the Least Squares Estimator. 5. Large Sample Properties of the Least Squares and Instrumental Variables Estimators. 6. Inference and Prediction. 7. Functional Form and Structural Change. 8. Specification Analysis and Model Selection. 9. Nonlinear Regression Models. 10. Nonspherical Disturbances—The Generalized Regression Model. 11. Heteroscedasticity. 12. Serial Correlation. 13. Models for Panel Data. 14. Systems of Regression Equations. 15. Simultaneous-Equations Models. 16. Estimation Frameworks in Econometrics. 17. Maximum Likelihood Estimation. 18. The Generalized Method of Moments. 19. Models with Lagged Variables. 20. Time-Series Models. 21. Models for Discrete Choice. 22. Limited Dependent Variable and Duration Models. 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. Appendix G. Statistical Tables. References. Author Index. Subject Index.