Suppose you estimate the following results: hourly_wage=5.5 + 0.50edu + 0.10exper + 0.10(edu*exper) Standard error for beta0hat is 0.50. Standard error for beta1hat is 0.10. Standard error for beta2hat is 0.005. Standard error for beta3hat is 0.03. 7. What is the effect on wages of a 3-year increase in years of experience when years of education equal 12? MY ANSWER: 3.9 8. How would you test the statistical significance of the effect in (Q7)? H0: beta2+beta3*edu=0 vs. H1: beta2+beta3*edu!=0 H0: beta2+beta3*12=0 vs. H1: beta2+beta3*12!=0 H0: beta2=beta3 vs. H1: beta2!=beta3 H0: beta2=0 vs. H1: beta2!=0 H0: beta3=0 vs. H1: beta3!=0 H0: beta2*10+beta3=0 vs. H1: beta2*10+beta3*10!=0
Suppose you estimate the following results:
hourly_wage=5.5 + 0.50edu + 0.10exper + 0.10(edu*exper)
Standard error for beta0hat is 0.50.
Standard error for beta1hat is 0.10.
Standard error for beta2hat is 0.005.
Standard error for beta3hat is 0.03.
7. What is the effect on wages of a 3-year increase in years of experience when years of education equal 12? MY ANSWER: 3.9
8. How would you test the statistical significance of the effect in (Q7)?
H0: beta2+beta3*edu=0 vs. H1: beta2+beta3*edu!=0
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H0: beta2+beta3*12=0 vs. H1: beta2+beta3*12!=0
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H0: beta2=beta3 vs. H1: beta2!=beta3
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H0: beta2=0 vs. H1: beta2!=0
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H0: beta3=0 vs. H1: beta3!=0
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H0: beta2*10+beta3=0 vs. H1: beta2*10+beta3*10!=0
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None of the above
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H0: beta2=beta3=0 vs. H1: beta2!=0 and/or beta3!=0 |
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