Essay
You would like to find the effect of gender and marital status on earnings.As a result,you consider running the following regression:
ahei= β0 + β1×DFemmei + β2×DMarri + β3×DSinglei + β4×educi+...+ ui
Where ahe is average hourly earnings,DFemme is a binary variable which takes on the value of "1" if the individual is a female and is "0" otherwise,DMarr is a binary variable which takes on the value of "1" if the individual is married and is "0" otherwise,DSingle takes on the value of "1" if the individual is not married and is "0" otherwise.The regression program which you are using either returns a message that the equation cannot be estimated or drops one of the coefficients.Why do you think that is?
Correct Answer:

Verified
There is perfect multicollinea...View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Correct Answer:
Verified
View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Q3: In the multiple regression model Yi =
Q6: You have collected data on individuals and
Q9: (Requires Calculus)For the simple linear regression model
Q11: You have collected data for 104 countries
Q12: Females,on average,are shorter and weigh less than
Q13: In the process of collecting weight and
Q15: In the multiple regression with two explanatory
Q28: You try to establish that there is
Q29: Your econometrics textbook stated that there will
Q48: One of your peers wants to analyze