Basic EconometricsGujarati's Basic Econometrics provides an elementary but comprehensive introduction to econometrics without resorting to matrix algebra, calculus, or statistics beyond the elementary level. Because of the way the book is organized, it may be used at a variety of levels of rigor. For example, if matrix algebra is used, theoretical exercises may be omitted. A CD of data sets is provided with the text. 
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Review: Basic Econometrics 4th Economy Edition
User Review  Abdul Aziz  Goodreadsit will definetely help me in the econometrics field. Read full review
Review: Basic Econometrics 4th Economy Edition
User Review  Mission  Goodreadsuppose the price of a coommodity was Tk .03 and at the quantity demand was 3250 units but when price increase to Tk .05 demand decreased to 1250 units .What will be the value of elasticity Read full review
Contents
Introduction  1 
SingleEquation Regression Models  13 
Classical Normal  101 
Copyright  
31 other sections not shown
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adaptive expectations Appendix assume assumption autocorrelation autoregressive average Chapter chisquare collinearity computed confidence interval consider the following constant consumption expenditure data given demand function dependent variable discussed disturbance term dollars dummy variable DurbinWatson Econometrics economic equation error term example exercise expected explanatory variables F test following model following regression given in Table heteroscedasticity homoscedastic income increases intercept term lagged leastsquares level of significance linear regression linear regression model logit matrix mean value measure method multicollinearity normally distributed Note null hypothesis obtain the following OLS estimators output parameters percent period preceding probability probit problem procedure R2 value random ratio reducedform regressand regression analysis regression coefficients regression line regression model regressors relationship residuals sample Section serial correlation series data shows slope coefficient specification errors squares standard errors statistically significant Suppose tion true twovariable unit variance zero