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Applications of SingleEquation Regression Model
Appendix A E Notation
2 other sections not shown
algebraic analysis of variance assume assumption autocorrelation beta coefficient classical least-squares estimation coefficient of determination commodity compute constant consumption function correlation cost function critical value cross-section data degrees of freedom demand function dependent variable discussed dummy variable econometrics economic theory elasticity empirical endogenous variables equa Equations 7-1 error term esti estimation method example formulation functional form heteroscedasticity identify implies income independent inputs just-identified lagged least-squares method level of significance linear measure multicollinearity normal distribution null hypothesis observations obtain output population mean predetermined variables probability probit problem production function random variable ratio reduced-form coefficients reduced-form equation regression analysis regression coefficients regression equation regression model reject the null residuals sample mean Section simultaneous-equation model solution specified standard deviation standard error standardized normal statistical inference structural equations structural parameters sum of squared supply function technique three-variable time-series data tion two-stage least-squares unbiased estimate variance a2