Essentials of econometrics /
Gujarati, Damodar N
Essentials of econometrics / Damodar N. Gujarati, Dawn C. Porter. - 4 ed. - New York : McGraw Hill, 2010. - 554 p. : il., grafs., diagrs., ejems., etc.
Incluye bibliografía, índice, etc.
The nature and scope of econometrics -- The linear regression model -- Basic ideas of linear regression: The two-variable model -- The two-variable model: Hypothesis testing -- Multipel rgression: Estimation and hypothesis testing -- Funtional forms of regression models -- Duymmy variable regression models -- Regression analysis in practice -- Model slection: Criteria an tests -- Multicollinearity: What happens if explanatory variables are correlates? -- Heteroscedasticity: What happens if the error variance is nonconstant? -- Autocorrelation: What happens if error terms are correlated? -- Advanced topics in econometrics -- Simultaneous equation models -- Selected topics in single equation regression models -- Basics of probability and statistics -- Review of statistics: Probability and probability distributions -- Characteristics of probability distributions -- Some importan probability distributions -- Statistical inference: Estimation and hypothesis testign -- Statistical tables -- Computer output of EViews, MINTAB, Excel, and STATA. Cap. 1. Pte. Cap. 2. 3. 4. 5. 6. Pte. 2. Cap. 7. 8. 9. 10. Pte. 3. Cap. 11. 12. App. A. B. C. D. E. F.
Disponible en la Colección General.
9780073375847 (pasta dura) 0073375845 (pasta dura)
Econometría
Econometría--Métodos Estadísticos
Economía Matemática
Econometrics
Economics--Statistical Methods
330.015195 / D163
Essentials of econometrics / Damodar N. Gujarati, Dawn C. Porter. - 4 ed. - New York : McGraw Hill, 2010. - 554 p. : il., grafs., diagrs., ejems., etc.
Incluye bibliografía, índice, etc.
The nature and scope of econometrics -- The linear regression model -- Basic ideas of linear regression: The two-variable model -- The two-variable model: Hypothesis testing -- Multipel rgression: Estimation and hypothesis testing -- Funtional forms of regression models -- Duymmy variable regression models -- Regression analysis in practice -- Model slection: Criteria an tests -- Multicollinearity: What happens if explanatory variables are correlates? -- Heteroscedasticity: What happens if the error variance is nonconstant? -- Autocorrelation: What happens if error terms are correlated? -- Advanced topics in econometrics -- Simultaneous equation models -- Selected topics in single equation regression models -- Basics of probability and statistics -- Review of statistics: Probability and probability distributions -- Characteristics of probability distributions -- Some importan probability distributions -- Statistical inference: Estimation and hypothesis testign -- Statistical tables -- Computer output of EViews, MINTAB, Excel, and STATA. Cap. 1. Pte. Cap. 2. 3. 4. 5. 6. Pte. 2. Cap. 7. 8. 9. 10. Pte. 3. Cap. 11. 12. App. A. B. C. D. E. F.
Disponible en la Colección General.
9780073375847 (pasta dura) 0073375845 (pasta dura)
Econometría
Econometría--Métodos Estadísticos
Economía Matemática
Econometrics
Economics--Statistical Methods
330.015195 / D163