Hi everyone,
I'm using the new version of areg in Stata Now 19.5, and I am wondering if anyone has an idea of how I could take advantage of this command to absorb group specific time trends, just like reghdfe from SSC. I want to run something like this:
Where time is any kind of time variable. The problem is that none of the new high-dimensional fixed effects (HDFE) commands allow factor-variable and time-series operators in absorb.
If I add these time trends as variables, all the speed gains of the new HDFE commands disappear. Here is an example based on the HDFE announcement page:
For me, the runtime of areg is 1/10 of the one of reghdfe. However, if I create a time variable, and add time trends for each group of the variable a1, then areg's runtime becomes 17 times the time that reghdfe takes to run:
Any ideas of how I could the new HDFE commands to add these time trends?
I'm using the new version of areg in Stata Now 19.5, and I am wondering if anyone has an idea of how I could take advantage of this command to absorb group specific time trends, just like reghdfe from SSC. I want to run something like this:
Code:
areg y x, absorb(i.group#c.time)
If I add these time trends as variables, all the speed gains of the new HDFE commands disappear. Here is an example based on the HDFE announcement page:
Code:
webuse hdfe, clear timer clear timer on 1 areg y x, absorb(id a1 a2) est sto m1 timer off 1 timer on 2 reghdfe y x, abs(id a1 a2) est sto m2 timer off 2 timer list
Code:
bys id: gen time=_n timer on 3 qui reghdfe y x, abs(id i.a1#c.time) timer off 3 timer on 4 qui areg y x i.a1#c.time, abs(id) timer off 4 timer list