In 2010, Scott Carrell, Marianne Page, and James West published a paper that uses econometrics in order to understand whether professor gender impacts student performance in math and science courses. The authors collected data on student grades in introductory courses taken between 2001-2008 for each of 9,015 students. I took some liberties in simplifying their results below. The following equation describes the performance of students in introductory math and science courses in terms of whether the professor is female or not (FemaleProfessor), whether the student is female or not (FemaleStudent), and an interaction variable between professor gender and student gender (FemaleStndent*FemaleProfessor). Performance is defined as a student's normalized grade in the course (this means you interpret changes in the performance variable in

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In 2010, Scott Carrell, Marianne Page, and James West published a paper that uses econometrics
in order to understand whether professor gender impacts student performance in math and
science courses. The authors collected data on student grades in introductory courses taken
between 2001-2008 for each of 9,015 students. I took some liberties in simplifying their results
below. The following equation describes the performance of students in introductory math and
science courses in terms of whether the professor is female or not (FemaleProfessor), whether the
student is female or not (FemaleStudent), and an interaction variable between professor gender
and student gender (FemaleStudent*FemaleProfessor). Performance is defined as a student's
normalized grade in the course (this means you interpret changes in the performance variable in
terms of the standard deviation). Standard errors are given in parentheses below the coefficients.
Student Performance = -0.50FemaleProfessor – 0.15FemaleStudent + 0.10(FemaleStudent * FemaleProfessor)
(0.02)
%3D
(0.03)
(0.04)
n=22,956
Transcribed Image Text:In 2010, Scott Carrell, Marianne Page, and James West published a paper that uses econometrics in order to understand whether professor gender impacts student performance in math and science courses. The authors collected data on student grades in introductory courses taken between 2001-2008 for each of 9,015 students. I took some liberties in simplifying their results below. The following equation describes the performance of students in introductory math and science courses in terms of whether the professor is female or not (FemaleProfessor), whether the student is female or not (FemaleStudent), and an interaction variable between professor gender and student gender (FemaleStudent*FemaleProfessor). Performance is defined as a student's normalized grade in the course (this means you interpret changes in the performance variable in terms of the standard deviation). Standard errors are given in parentheses below the coefficients. Student Performance = -0.50FemaleProfessor – 0.15FemaleStudent + 0.10(FemaleStudent * FemaleProfessor) (0.02) %3D (0.03) (0.04) n=22,956
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