Performing fixed effects estimations on large datasets often takes a significant amount of time. While exporting the results using packages like TexTables.jl is an option, it would be incredibly beneficial to be able to save and subsequently load the results of a fixed effects estimation. Specifically, I'm thinking of the ability to save an object of type FixedEffectModel and then easily load it back into Julia, similar to how one would load a CSV using CSV.read().
This capability becomes crucial in scenarios where, for instance, the Julia extension might crash or the system runs out of memory in the middle of a long estimation routine. In such cases, users are forced to restart the entire process.
I am not aware whether this is at all possible or not. But I can imagine this could save users a lot of time, especially while working with large datasets.
Hi,
Performing fixed effects estimations on large datasets often takes a significant amount of time. While exporting the results using packages like TexTables.jl is an option, it would be incredibly beneficial to be able to save and subsequently load the results of a fixed effects estimation. Specifically, I'm thinking of the ability to save an object of type
FixedEffectModel
and then easily load it back into Julia, similar to how one would load a CSV usingCSV.read()
.This capability becomes crucial in scenarios where, for instance, the Julia extension might crash or the system runs out of memory in the middle of a long estimation routine. In such cases, users are forced to restart the entire process.
I am not aware whether this is at all possible or not. But I can imagine this could save users a lot of time, especially while working with large datasets.
Thanks!