PS1_Soln_Duncan

PS1_Soln_Duncan - Prasad Krishnamurthy Econ 140 Sept. 19,...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
Prasad Krishnamurthy Econ 140 Sept. 19, 2009 Suggested Solutions PS 1 Problem 2.6 (see textbook) Problem 2.7 (a) We know b 2 = 1 N 2 P b e 2 i . Therefore, P b e 2 i = 2 : 04672 (51 ± 2) = 100 : 2893 (b) We know the standard error of b 2 is given by: se ( b 2 ) = p : 00098 = 031305 We know that the estimated variance of b 2 is given by: var ( b 2 ) = b 2 P ( x i ± x ) 2 ) X ( x i ± x ) 2 = b 2 var ( b 2 ) = 2 : 04672 : : 00098 = 2088 : 49 (c) The regresssion results suggest that a 1% increase in the percentage of males above 18 who are high school graduates is associated with a : 18 ² 1000 = 180$ increase in the mean (annual) income of males above 18. Notice that I said \is associated with," which faithfully represents the fact that we are reporting a correlation. The regression estimates have very little to say about the causal forces that underlie the statistical association between education and income. (d) Recall that the regression line (i.e. the equation that gives us the pre-
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Background image of page 2
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 2

PS1_Soln_Duncan - Prasad Krishnamurthy Econ 140 Sept. 19,...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online