Introductory Econometrics: A Modern Approach
Econometrics has moved from a specialized mathematical description of economics to an applied interpretation based on empirical research techniques - and the modern approach of this innovative book is proof. Introductory Econometrics bridges the gap between the mechanics of econometrics and modern applications of econometrics by employing a systematic approach motivated by the major problems currently facing applied researchers. Offering a solid foundation for social science research, the book provides important knowledge used for empirical work and carrying out research projects in a variety of fields.
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The Nature of Econometrics and Economic Data
REGRESSION ANALYSIS WITH CROSSSECTIONAL DATA
The Simple Regression Model
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2SLS applied assume asymptotic average bias binary ceteris paribus Chapter coefficient compute confidence interval covariance crime critical value cross-sectional data set degrees of freedom denote dependent differencing dummy variable econometric economic endogenous error term esti example exogenous expected value exper explain explanatory variables F statistic factors fitted values fixed effects forecast Gauss-Markov assumptions heteroskedasticity heteroskedasticity-robust homoskedasticity income increase independent variables instrumental variables intercept interpretation least squares matrix mean multiple regression normal distribution null hypothesis observations obtain og(wage OLS estimators OLS regression OLS residuals omitted variables p-value panel data parameters partial effect percentage population predicted probability problem properties random sample random variable regression analysis regression model restrictions salary Section serial correlation significance level simple regression slope estimates squared residuals standard errors statistically significant sum of squared Suppose Theorem tion Tobit model trend unbiased estimator uncorrected uncorrelated unit root variance wage zero