Essentials of EconometricsThe primary objective of the fourth edition of Essentials of Econometrics is to provide a user-friendly introduction to econometric theory and techniques. This text provides a simple and straightforward introduction to econometrics for the beginner. The book is designed to help students understand econometric techniques through extensive examples, careful explanations, and a wide variety of problem material. In each of the editions, I have tried to incorporate major developments in the field in an intuitive and informative way without resort to matrix algebra, calculus, or statistics beyond the introductory level. The fourth edition continues that tradition. |
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Specifying the Mathematical Model of Labor Force Participation | 5 |
Testing the Hypothesis Derived from the Model | 11 |
PART | 19 |
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Appendix assumption autocorrelation average B₁ B₂ B₂X Chapter CLFPR CLRM collinearity computed confidence interval constant correlation covariance CUNR data given dependent variable discussed dummy variable Durbin-Watson Econometrics economic elasticity Equation error term example expected value explanatory variables F value F-statistic following regression given in Eq given in Table heteroscedasticity homoscedastic hypothesis testing lagged least squares level of significance linear regression linear regression model log-linear log-linear model logit math S.A.T. score mean value measured method MINITAB multicollinearity multiple regression normal distribution Note null hypothesis observations OLS estimators P/E ratio parameters percent population Prob probability distribution problem R² value random sample random variables regression analysis regression coefficients regression results reject the null relationship residuals sample mean shows slope coefficient specification error standard errors statistically significant stochastic sum of squares textbook's transformed true two-variable type I error wage X₁ Y₁ zero