An Introduction to Applied Econometrics : A Time Series Approach

Por: Editor: Basingstoke : Palgrave Macmillan 2000Descripción: xxvi, 795 p. 24 cmISBN:
  • 978-0-333-80246-5
Recursos en línea:
Contenidos:
1. Economics and quantitative economics - 2. Some preliminaries - 3. An introduction to stationary and nonstationary random variables - 4. Estimation and hypothesis testing in simple regression models - 5. Extending estimation and model building to several regressors - 6. An introduction to nonstationary univariable time series models - 7. Developments of nonstationary univariable time series models - 8. Stationary and nonstionary in single-equation regression analysis - 9. Endogeneity and the fully modified OLS estimator - 10. The demand ofr money - 11. The term structure of interest rates - 12. The Phillips curve - 13. The exchange rate and purchasing power parity - 14. Multivariate models and cointegration - 15. Applications of multivariate models involving cointegration - 16. Autoregressive conditional heteroscedasticity: modelling volatility
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Libro Biblioteca Prof. Eusebio Cleto del Rey 330.43 P315 (Navegar estantería(Abre debajo)) Disponible L118916
Libro Biblioteca Prof. Eusebio Cleto del Rey 330.43 P315 (Navegar estantería(Abre debajo)) Disponible L118917

1. Economics and quantitative economics - 2. Some preliminaries - 3. An introduction to stationary and nonstationary random variables - 4. Estimation and hypothesis testing in simple regression models - 5. Extending estimation and model building to several regressors - 6. An introduction to nonstationary univariable time series models - 7. Developments of nonstationary univariable time series models - 8. Stationary and nonstionary in single-equation regression analysis - 9. Endogeneity and the fully modified OLS estimator - 10. The demand ofr money - 11. The term structure of interest rates - 12. The Phillips curve - 13. The exchange rate and purchasing power parity - 14. Multivariate models and cointegration - 15. Applications of multivariate models involving cointegration - 16. Autoregressive conditional heteroscedasticity: modelling volatility

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