Code:
dfactor (variable_name1 variable_name2 variable_name3 variable_name4) (f=, ar(1)), nolog
Code:
predict f1, factor
I wanted to know whether we can get more than one factor estimates? Or it only generates one? Or is it that for my data there is a single latent (Unobserved) factor only and that the second command usually generates all the applicable number of factors?
Also, if I want to generate an index from DFM then is the generated series in data editor my index? Do I have to interpret anything from DFM results (could not attach due to technical error)? How do we check model significance for variables?
Please if anyone could help
Thanks
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