You are interested in how part-time versus full-time statuss affects the probability of having a pension for men versus women. So, you run a regression with pension coverage -- as the dependent variable, and an indicator for part time status (part), whether someone -- a binary variable identifies as female (female) and the interaction between the two (part_female). pension = 0.6 - 0.2part + 0.05female - 0.1part_female %3D The standard error on "part" is 0.1, on "Female" is 0.025, and on "part_female" is 0.1. If the critical value for a two-tailed test at the 5-percent significance level is 1.96, do full-time working males have significantly different pension coverage than full-time working females?
You are interested in how part-time versus full-time statuss affects the probability of having a pension for men versus women. So, you run a regression with pension coverage -- as the dependent variable, and an indicator for part time status (part), whether someone -- a binary variable identifies as female (female) and the interaction between the two (part_female). pension = 0.6 - 0.2part + 0.05female - 0.1part_female %3D The standard error on "part" is 0.1, on "Female" is 0.025, and on "part_female" is 0.1. If the critical value for a two-tailed test at the 5-percent significance level is 1.96, do full-time working males have significantly different pension coverage than full-time working females?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:You are interested in how part-time versus full-time status affects the probability of having a
pension for men versus women. So, you run a regression with pension coverage -- a binary variable
-- as the dependent variable, and an indicator for part time status (part), whether someone
identifies as female (female) and the interaction between the two (part_female).
pension = 0.6 - 0.2part + 0.05female - 0.1part_female
The standard error on "part" is 0.1, on "Female" is 0.025, and on "part_female" is 0.1.
If the critical value for a two-tailed test at the 5-percent significance level is 1.96, do full-time
working males have significantly different pension coverage than full-time working females?
Standard errors in parenthesis apply to coefficients in the order provided.
No
Cannot say from the results provided
Yes
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