Hi all,
I am working with ppmlhdfe with a very large dataset (approx. 175 mio obs). I run a regression with entity and time trend fixed effects (about 5 mio and 8 k each). I have enough computing power available (I use 10% of CPU and 35% of RAM with ppmlhdfe), but still each regression takes about 30-45 minutes to run.
This is the regression specification:
Do you have any tips and tricks how I could speed up the estimation?
Thanks!
Theresa
I am working with ppmlhdfe with a very large dataset (approx. 175 mio obs). I run a regression with entity and time trend fixed effects (about 5 mio and 8 k each). I have enough computing power available (I use 10% of CPU and 35% of RAM with ppmlhdfe), but still each regression takes about 30-45 minutes to run.
This is the regression specification:
Code:
ppmlhdfe dep_var treat0_post treat1_post treat2_post treat3_post treat4_post , absorb(event_user event_trend) cl(event_id)
Thanks!
Theresa
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