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Part I. Statistical Methods:
1. Statistical models;
2. Sequential models and asymptotics;
3. Estimation by maximization and by the method of moments;
4. Asymptotic tests;
5. Nonparametric methods;
6. Simulation methods;
Part II. Regression Models:
7. Conditional expectation;
8. Univariate regression;
9. Generalized least squares method, heteroskedasticity, and multivariate regression;
10. Nonparametric estimation of the regression;
11. Discrete variables and partially observed models;
Part III. Dynamic Models:
12. Stationary dynamic models;
13. Nonstationary processes and cointegration;
14. Models for conditional variance;
15. Nonlinear dynamic models;
Part IV. Structural Modeling:
16. Identification and over identification in structural modeling;
17. Simultaneity;
18. Models with unobservable variables.
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Add Econometric Modeling and Inference, The aim of this book is to present the main statistical tools of econometrics. It covers almost all modern econometric methodology and unifies the approach by using a small number of estimation techniques, many from generalized method of moments (GMM) est, Econometric Modeling and Inference to the inventory that you are selling on WonderClubX
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Add Econometric Modeling and Inference, The aim of this book is to present the main statistical tools of econometrics. It covers almost all modern econometric methodology and unifies the approach by using a small number of estimation techniques, many from generalized method of moments (GMM) est, Econometric Modeling and Inference to your collection on WonderClub |