Errata for Using EViews for Undergraduate Econometrics, 2^nd Edition

p. 70: The Jarque-Bera test for normality is reported by EViews. To replicate the result in (R6.12) on page 139 in the text, use the formula for JB in the middle of the page, and the following definitions for skewness and kurtosis. Other computer software packages may report different measures for these concepts. Skewness is a measure of asymmetry of a distribution about its mean. For a sample an empirical measure of skewness is , where . Kurtosis measures the peakedness, or flatness, of a distribution. An empirical measure of Kurtosis is . In the case of the least squares residuals, , the formulas simplify because , making . Thus the formulas for skewness and kurtosis of the least squares residuals are , where . Similarly, the formula for kurtosis becomes

p. 79: In the last paragraph, next to last line, b₂ should be b₃.

p. 85: The second to last sentence should read “The adjusted R² is simply 1 minus the square of the ratio of the standard error of the regression, @se, to the sample standard deviation of the dependent variable, @sddep.