Question 3 You observe data on 500 fruit pickers. Each picker works eight hours in the field. The variable kg represents the amount a worker harvested per day in kilograms. The variable xper...

!Question 3<br>You observe data on 500 fruit pickers. Each picker works eight hours in the field. The<br>variable kg represents the amount a worker harvested per day in kilograms. The<br>variable xper represents the years of experience, oge refers to the age of a harvest<br>hand, and fem is a dummy variable equal to one if a person is female and zero<br>otherwise. You obtain the following regression results (standard errors in<br>parentheses):<br>kg- 9.27 +0.15zper - 0.008 age + 0.02 fem x rper- 0.5 fem.<br>(0.012)<br>(0.52)<br>(0.05)<br>(0.01)<br>(0.127)<br>The estimates mean that one more year of experience leads to greater gains (in<br>terms of kg harvested) for women than for men.<br>True<br>False<br>

Extracted text: Question 3 You observe data on 500 fruit pickers. Each picker works eight hours in the field. The variable kg represents the amount a worker harvested per day in kilograms. The variable xper represents the years of experience, oge refers to the age of a harvest hand, and fem is a dummy variable equal to one if a person is female and zero otherwise. You obtain the following regression results (standard errors in parentheses): kg- 9.27 +0.15zper - 0.008 age + 0.02 fem x rper- 0.5 fem. (0.012) (0.52) (0.05) (0.01) (0.127) The estimates mean that one more year of experience leads to greater gains (in terms of kg harvested) for women than for men. True False

Jun 06, 2022
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