Open tallysfeldens opened 2 years ago
Hello Tallys,
I am doing fine, thanks for asking. About your question: Well, depends on what you are trying to do and how you want to model things. I guess could probably use linearRidge() whenever you would call lm().
But of course the ridge package isn't made especially for Panel Data. You might want to take a look at the plm package if you don't know it yet: https://cran.r-project.org/web/packages/plm/index.html
Thanks for answering me so fast!
I should have been more specific, I'm sorry about that. I've estimated a translog production function using plm, but due to its functional form my data suffer from multicollinearity and I have to re-estimate it using ridge regression.
Do your think I would have any issues using your package for this?
What was the exact call you used in plm? (formula and parameter options)
Hi Steffen,
my plm was the following:
translog_plm <- plm(HALE ~ HE + SE + time + HE2 + SE2 + time2 + SE_HE + SET
Where HE, SE and Time are variables that due to translog production function have a linear, a squared, and an interacted parameter for each of them.
Thanks again
Em seg., 11 de abr. de 2022 às 07:06, Steffen Moritz < @.***> escreveu:
What was the exact call you used in plm? (formula and parameter options)
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-- Tallys Kalynka Feldens Economista SESA/PR Doutoranda em Desenvolvimento Econômico/UFPR 41 99597-0393
Can't you just use your plm call/formula with ridge? What does the model look like (coefficents, metrics, ... ) in comparison to the plm output?
Hello Steffen, How are you doing?
Thanks for keeping this package.
I'm thinking of using your package for a set of panel data, 30 years, 38 c_id.
Your package can be used for such setting? Thank you very much