The study doesnât appear to control for cash transfers received through access to M-Pesa.
Good point! I hadnât thought about this at all. GiveDirectlyâs cash transfers were very large, enough that $9.5m would go to 33k people ($288/âperson). The population was 43M, so 1 in 1300 people received money from GiveDirectly. Their sample size is just 1593, so you expect 0-2 GiveDirectly recipients. I think they should be pretty visible in the data? Might be worth writing to the authors.
It seems like youâre assuming that the GiveDirectly money would have gone only to the M-Pesa-access side of the (natural) experiment, but they categorized areas based on whether they had M-Pesa access in 2008-2010, not 2012-2014 when access was much higher.
GiveWell estimate each $ to GiveDirectly raises ln(consumption) by 0.0049
I didnât notice that GiveWell had an estimate for this, and checking now I still donât see it. Whereâs this estimate from?
(In my post I just took their average amount transferred, figured out what effect that had on the average recipientâs income, and then discounted by .8 for GiveDirectlyâs overhead.)
(My method gives an estimate of 0.0022 per dollar to GiveDirectly, so if GiveWell is estimating 0.0049 then my bottom line numbers are roughly 2x too high.)
It seems like youâre assuming that the GiveDirectly money would have gone only to the M-Pesa-access side of the (natural) experiment, but they categorized areas based on whether they had M-Pesa access in 2008-2010, not 2012-2014 when access was much higher.
Ah yesâthat kind of invalidates what I was trying to do here.
I didnât notice that GiveWell had an estimate for this, and checking now I still donât see it. Whereâs this estimate from?
It came from the old GiveWell cost-effectiveness analysis excel sheet (2015). âMediansâcell V14â. Actually looking at the new one the equivalent figures seems to be 0.26% so youâre right! (Although this is the present value of total increases in current and future consumption).
Good point! I hadnât thought about this at all. GiveDirectlyâs cash transfers were very large, enough that $9.5m would go to 33k people ($288/âperson). The population was 43M, so 1 in 1300 people received money from GiveDirectly. Their sample size is just 1593, so you expect 0-2 GiveDirectly recipients. I think they should be pretty visible in the data? Might be worth writing to the authors.
It seems like youâre assuming that the GiveDirectly money would have gone only to the M-Pesa-access side of the (natural) experiment, but they categorized areas based on whether they had M-Pesa access in 2008-2010, not 2012-2014 when access was much higher.
I didnât notice that GiveWell had an estimate for this, and checking now I still donât see it. Whereâs this estimate from?
(In my post I just took their average amount transferred, figured out what effect that had on the average recipientâs income, and then discounted by .8 for GiveDirectlyâs overhead.)
(My method gives an estimate of 0.0022 per dollar to GiveDirectly, so if GiveWell is estimating 0.0049 then my bottom line numbers are roughly 2x too high.)
Ah yesâthat kind of invalidates what I was trying to do here.
It came from the old GiveWell cost-effectiveness analysis excel sheet (2015). âMediansâcell V14â. Actually looking at the new one the equivalent figures seems to be 0.26% so youâre right! (Although this is the present value of total increases in current and future consumption).