Essentials of Econometrics. /
Damodar N.Gujarati and Dawn . Porter.
- 4th ed.
- New York : McGraw Hill Education, 2010.
- xxii; 554p. : ill. ; 24cm.
Includes subject index and Appendix
Contents:The nature and scoope of econometrics -- The linear regression model -- Basic ideas of linear regression: The two-variable model -- The two-variable model: Hypothesis testing -- Multiple regression: Estimation and hypothesis testing -- Functional forms of regression models -- Dummy variable regression models -- Regression analysis in practice -- Model selection: Criteria and tests -- Multicollinearity: What happens if explanatory variables are correlated -- Heteroscedasticity : What happens if the error variance is nonconstant? -- Autgocorelation: -- What happens if error terms are correlated -- Simultaneous equation models -- Selected topics in single equation regression models.
Includes subject index and Appendix
Contents:The nature and scoope of econometrics -- The linear regression model -- Basic ideas of linear regression: The two-variable model -- The two-variable model: Hypothesis testing -- Multiple regression: Estimation and hypothesis testing -- Functional forms of regression models -- Dummy variable regression models -- Regression analysis in practice -- Model selection: Criteria and tests -- Multicollinearity: What happens if explanatory variables are correlated -- Heteroscedasticity : What happens if the error variance is nonconstant? -- Autgocorelation: -- What happens if error terms are correlated -- Simultaneous equation models -- Selected topics in single equation regression models.