6SSMN961: Applied economics Data analysis using STATA software URGENT NEED IT IN 3 HOURS

KING'S COLLEGE LONDON (University of London)

King’s Business School

6SSMN961: APPLIED ECONOMETRICS

2019-20

Problem Set 3

Hand-in instructions:

The deadline for submission is Monday 21 October at 10.00 am via KEATS.

The file that you upload on KEATS should contain two parts:

• Short written answers to the questions

• The Stata output in pdf format

You can merge two pdf files using Acrobat Professional or an online pdf merger.

You should name the file with your student number as follows: Studentnumber.pdf. This

is very important to ensure that your work can be identified.

1. Download the data TeachingRatings.dta from the course page. This dataset contains

data on teaching evaluations for 463 professors at the University of Texas, and various

attributes of the professor and the course.

a. Run a regression of course_eval on beauty. What is the slope coefficient? Is it

statistically significantly different from zero?

b. Run a regression of course_eval on beauty and female. What is the coefficient

on beauty now? Explain in detail why the result is different from part (a)

c. Add an interaction term between female and beauty. What is the interpretation

of the coefficient on this interaction term?

d. Run a regression of course_eval on beauty, female, an interaction between

female and beauty and the additional controls minority, age, onecredit,

nnenglish and intro. Explain whether these additional controls have a

significant effect on teaching ratings.