al issues are typically off topic Someone might
> respond privately, though.
>
> Cheers,
> Bert
>
> On Thu, Oct 6, 2022 at 4:24 AM Valerio Leone Sciabolazza
> wrote:
>>
>> Good morning,
>> I am trying to use R to estimate a fixed effects model (i.e., a pane
Good morning,
I am trying to use R to estimate a fixed effects model (i.e., a panel
regression model controlling for unobserved time-invariant
heterogeneities across agents) using different estimation approaches
(e.g. replicating xtreg from Stata, see e.g.
https://www.stata.com/support/faqs/statist
; $ rsstrace: num [1:9] 1966.2 327.2 104.8 53.9 33.2 ...
> $ deviance: num 1.06
> - attr(*, "class")= chr "nls.lm"
>
> Also
> > nls.out$hessian
> a b c
> a 10.26361 43.17086 19.89616
> b 43.17086 382.17773 166.43747
> c 19.89
Dear R users,
I want to modify how the degrees of freedom are calculated from the
summary function of the package minpack.lm
My first thought was to replicate how minpack.lm:::summary.nls.lm
works, and modify the line of the code that is relevant for my task.
However, for some reason I am not able
posted this question on
stackoverflow [2] but no one answered.
[1]
https://stackoverflow.com/questions/49351201/fixed-effects-regression-constant-intercept-using-lfe-felm-in-r
[2]
https://stackoverflow.com/questions/62497705/estimate-of-constant-term-using-r-felmlfe-package-and-differences-with-stats
Valer
survival::clogit.
My questions are: i) am I properly constructing the dataset and using
the field weights?, ii) is it necessary to include the variable "alt"
in the formula?
Can anyone provide any useful guidelines?
Regards,
Valerio Leone Sciabolazza, Ph.D.
set.seed(123)
# number of obse
n my specification, hence I have no parameters to use in
rpar. As a result, mlogit seems not the best choice in this context.
On stackexchange, a possible solution was proposed few years ago
https://stats.stackexchange.com/questions/51148/unable-to-provide-random-parameter-with-mlogit
However, I don&
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