Forecasting challenges
Guys and Gals
This exercise of predicting dates (especially on all country basis) is turning out to be a lot more data intensive and requiring many many assumptions to fill in data gaps. This is making me very uncomfortable - the less assumptions and more facts we have, better we are in a position to infer something.
Conceptually, my approach is similar to the way Akela went about predicting likely dates - in the sense, we will have to try and get a handle on Service Centers adjudicating approach and what happens in BEC. The differences are likely to be in base numbers we are starting off with, and some factors (such as EB3 to EB2 change-overs, mutliple applications, FB to EB flowover) and some other details. But the broad "framework" which I have come up with is similar to Akela's.
One case in point about complexities involved: China's H-1B beneficiaries
One thing I did notice was China's H-1B beneficiaries number. They have been sending less than 60% of what India has been sending but they are still retrogressed with India (EB2/EB1).
This fact makes me think the flow over from Family based (FB) to Employment based (EB) each year is a HUGE variable - it appears India is getting more of FB to EB flow-overs than China. Or me, there is some other factor.
So, you see, this further complicates the modeling process.
I will keep trying for some more time but I do not know what I will get finally.
Regards
GCStrat
Guys and Gals
This exercise of predicting dates (especially on all country basis) is turning out to be a lot more data intensive and requiring many many assumptions to fill in data gaps. This is making me very uncomfortable - the less assumptions and more facts we have, better we are in a position to infer something.
Conceptually, my approach is similar to the way Akela went about predicting likely dates - in the sense, we will have to try and get a handle on Service Centers adjudicating approach and what happens in BEC. The differences are likely to be in base numbers we are starting off with, and some factors (such as EB3 to EB2 change-overs, mutliple applications, FB to EB flowover) and some other details. But the broad "framework" which I have come up with is similar to Akela's.
One case in point about complexities involved: China's H-1B beneficiaries
One thing I did notice was China's H-1B beneficiaries number. They have been sending less than 60% of what India has been sending but they are still retrogressed with India (EB2/EB1).
This fact makes me think the flow over from Family based (FB) to Employment based (EB) each year is a HUGE variable - it appears India is getting more of FB to EB flow-overs than China. Or me, there is some other factor.
So, you see, this further complicates the modeling process.
I will keep trying for some more time but I do not know what I will get finally.
Regards
GCStrat