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Basic econometrics /

Detalles Bibliográficos
Autor principal: Gujarati, Damodar N.
Formato: Software Libro
Lenguaje:English
Publicado: Boston : McGraw Hill, c2003.
Edición:4th ed.
Materias:

MARC

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100 1 |a Gujarati, Damodar N.  |9 384944 
245 1 0 |a Basic econometrics /  |c Damodar N. Gujarati. 
250 |a 4th ed. 
260 |a Boston :  |b McGraw Hill,  |c c2003. 
300 |a xxix, 1002 p. :  |b il. ;  |c 24 cm. 
500 |a Incluye indices. 
504 |a Bibliografía: p. 979-982. 
505 0 |a Pt. 1. Single-equation regression models. The nature of regression analysis -- Two-variable regression analysis : some basic ideas -- Two-variable regression model : the problem of estimation -- Classical normal linear regression model (CNLRM) -- Two-variable regression : interval estimation and hypothesis testing -- Extensions of the two-variable linear regression model -- Multiple regression analysis : the problem of estimation -- Multiple regression analysis : the problem of inference -- Dummy variable regression models -- Pt. 2. Relaxing the assumptions of the classical model. Multicollinearity : what happens if the regressors are correlated -- Heteroscedasticity : what happens if the error variance is nonconstant? -- Autocorrelation : what happens if the error terms are correlated -- Econometric modeling : model specification and diagnostic testing -- Pt. 3. Topics in econometrics. Nonlinear regression models -- Qualitative response regression models -- Panel data regression models -- Dynamic econometric models : autoregressive and distributed-lag models -- Pt. 4. Simultaneous-equation models. Simultaneous-equation models -- The identification problem -- Simultaneous-equation methods -- Time series econometrics : some basic concepts -- Time series econometrics : forecasting. 
650 4 |a Econometría. 
650 4 |a Economía  |x Modelos matemáticos. 
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