Bibliografía: p. 477-492. - índice

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) estimation. The work is in four parts: Part I sets forth statistical methods, Part II covers regression models, Part III investigates dynamic models, and Part IV synthesizes a set of problems that are specific models in structural econometrics, namely identification and overidentification, simultaneity, and unobservability. Many theoretical examples illustrate the discussion and can be treated as application exercises.

Índice: 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 cond... Etc.