00:02
There are two questions given to us.
00:05
So in question a, we have to find out how much the firm will pay each worker if it can't distinguish between group a and group b workers.
00:14
So we need to calculate the expected contribution to the firm's revenue for each type of workers and then take the average of these values based on the probabilities of each time.
00:27
So group a workers expected contribution is equal to probability of being group a multiplied by contribution of group a worker which is equal to putting the values 0 .50 multiplied by $2 lakh.
01:22
So evaluating it we get $1 lakh.
01:31
Now for group b workers expected contribution is equal to probability of being group b multiplied by contribution of group b worker is equal to putting the values 0 .50 multiplied by $1 lakh.
02:20
So evaluating it we get $60 ,000.
02:27
Now the firm will pay each worker the expected contribution which is an average of what they would pay if they could distinguish between the groups.
02:35
So this payment per worker is equal to expected contribution of group a added to expected contribution of group b divided by 2 which is equal to putting the values $1 lakh added to $60 ,000 divided by 2.
03:31
So evaluating it we get $80 ,000.
03:36
So if the firm can't distinguish workers apart, they will pay each worker $80 ,000.
04:07
In question b given the year cutoff for education, so let's analyze whether education can produce a strong signal.
04:32
So for group a workers cost of education is equal to $12 ,500 multiplied by 3 years which is equal to we get $37 ,500.
05:00
Then benefit of education, education that is increased contribution is equal to $2 lakh subtracted from $1 lakh 20 ,000.
05:17
Evaluating it we get $80 ,000...