* Chapter 6 - The Classical Multiple Linear Regression Model * W.H. Greene, Econometric Analysis, Fourth Edition, 2000. SAMPLE 1 36 READ (gasoline.shd) / NAMES * Example 6.3, p. 215 and Example 6.15, p. 251 GENR GPOP=100*G/POP GENR LG=LOG(GPOP) GENR LINC=LOG(Y) GENR LPGAS=LOG(PG) GENR LPNEW=LOG(PNC) GENR LPOLD=LOG(PUC) OLS LG LINC LPGAS LPNEW LPOLD / LOGLOG * Confidence interval for the income elasticity CONFID LINC * Test the null hypothesis of income elasticity equal to one. * The TEST command reports a p-value for a two-sided test. TEST LINC=1 * Example 9.2 - Estimating an elasticity for a linear model. * Calculate variable means. STAT GPOP Y / MEANS=MU GEN1 MGPOP=MU:1 GEN1 MY=MU:2 * Estimation results on p. 360. OLS GPOP Y PG PNC PUC * Note that the final column of the OLS estimation output reports * elasticities evaluated at sample means (see the formula given at * the beginning of Example 9.2, p. 359). * The TEST command can be used to get the standard error of the elasticity * evaluated at sample means. * On the TEST command, variable names represent coefficients from the * previous estimation. TEST Y*MY/MGPOP STOP