Consider the following regression: In (wage) = Bo + B₁ ln(age) + B₂ ln(education) + u, where wage is measured in dollars, age is measured in years, and education is measured in years. The coefficient B₁ is best interpreted as_ O the increase in wage from increasing age by one percent, all else constant O the percentage increase in wage from increasing age by one percent, all else constant O the percentage increase in wage from increasing age by one year, all else constant O the percentage increase in wage from increasing age by one year, divided by 100, all else constant O the effect on wage of increasing age by one year, all else constant
Consider the following regression: In (wage) = Bo + B₁ ln(age) + B₂ ln(education) + u, where wage is measured in dollars, age is measured in years, and education is measured in years. The coefficient B₁ is best interpreted as_ O the increase in wage from increasing age by one percent, all else constant O the percentage increase in wage from increasing age by one percent, all else constant O the percentage increase in wage from increasing age by one year, all else constant O the percentage increase in wage from increasing age by one year, divided by 100, all else constant O the effect on wage of increasing age by one year, all else constant
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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Transcribed Image Text:Question 3
Consider the following regression: In (wage) = Bo + B₁ ln(age) + 3₂ ln(education) + u,
where wage is measured in dollars, age is measured in years, and education is measured in
years. The coefficient 3₁ is best interpreted as
the increase in wage from increasing age by one percent, all else constant
the percentage increase in wage from increasing age by one percent, all else constant
O the percentage increase in wage from increasing age by one year, all else constant
the percentage increase in wage from increasing age by one year, divided by 100, all else constant
the effect on wage of increasing age by one year, all else constant
Question 4
Consider the following multivariate regresssion model:
y =B₁ + B₁x₁ + B₂x₂ + ... + ßkxk+u, and suppose that the errors are homoskedastic.
The variance of the multivariate model error, u, will decrease as the level of each explanatory
variable increases, conditional on the levels of all of the other explanatory variables.
True
O False
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