pam2100 stock_watson_ch5

pam2100 stock_watson_ch5 - 5-1 Also, we will cover some...

Info iconThis preview shows pages 1–4. Sign up to view the full content.

View Full Document Right Arrow Icon
Stock and Watson Chapter 5: Regression with a Single Regressor what do the distributions of 1 ˆ β and 0 ˆ look like? if the sample is sufficiently large (n=100), then: 1 ˆ ~ N (β 1 , standard deviation given by formula on page 133 SW, 587 MM) 0 ˆ ~ N (β 0 , standard deviation given by formula on page 133 SW, 587 MM) we don’t know the value of these standard deviations (depend on mean and variance of X )- the estimated standard deviations of 1 ˆ and 0 ˆ are the standard errors of 1 ˆ and 0 ˆ : if the sample is sufficiently large ( n =100), then: 1 ˆ ~ N (β 1 , standard error given by formula on page 151 SW, 587 MM) 0 ˆ ~ N (β 0 , standard error given by formula on page 180 SW, 587 MM) t = ) ˆ ( _ ˆ 1 1 SE value ed hypothesiz - 1) if the sample is sufficiently large, then 1 ˆ ~ N 2) the t -statistic is calculated assuming that the null is true H 0 : β 1 = 0 vs. H 1 : β 1 0 if the null is true, then the mean ( 1 ˆ ) = 0 3) SE ( 1 ˆ ) is the estimated standard deviation of 1 ˆ 1 ˆ ~ N t -statistic is (approximately) a standardized variable→ (variable – mean) / (estimated sd) t -statistic has (approximately) standard normal distribution: t ~ N (0,1) → can use standard normal table to calculate p-value
Background image of page 1

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

View Full DocumentRight Arrow Icon
if the sample is sufficiently large→ t ~ N (0,1) also legitimate to write: if the sample is sufficiently large→ t ~ t n -2 since t n -2 approaches the standard normal distribution as n gets large (return to t distributions in Section 5.6) Stock and Watson use: if the sample is sufficiently large→ t ~ N (0,1) we will always use t ~ N (0,1) unless explicitly told otherwise (Section 5.6) when will t statistic have exactly a t n -2 distribution? (discuss in Section 5.6) Example 1 estScore T ˆ = 700 - 2.32 × STR n = 420 (10.4) (1.12) Calculate the t -statistic for the test of H 0 : β 1 = 0 against the two-sided alternative H a : β 1 0? Calculate the p-value using the standard normal table. Do you reject H 0 at the 5% level? Example 2 estScore T ˆ = 700 - 2.32 × STR n = 420 (10.4) (1.12) Calculate the t -statistic for the test of H 0 : β 1 = 0 against the one-sided alternative H a : β 1 < 0? Calculate the p-value using the standard normal table. Do you reject H 0 at the 5% level? 2
Background image of page 2
Example 3 estScore T ˆ = 698.9 - 2.28 × STR n = 420 (10.5) (0.52) Construct a 95% confidence interval for β 1 . Use a z * value that refers to the standard normal distribution. Confidence intervals for predicted effects of changing
Background image of page 3

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

View Full DocumentRight Arrow Icon
Image of page 4
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 11

pam2100 stock_watson_ch5 - 5-1 Also, we will cover some...

This preview shows document pages 1 - 4. Sign up to view the full document.

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