Hi!
Could anybody please tell me how to generate lagged
values of a variable in panel data. My panel id is cid
and time id is tid.
Thanks
Cheers
Abhijit
--- Richard Williams <[email protected]>
wrote:
> Thanks to Kit Baum, yet another update to -gologit2-
> is now available
> from SSC - and unlike most previous updates, this
> one actually offers
> some added functionality and not just bug fixes!
>
> * While gologit2 continues to work in Stata 8.2, if
> you are using
> Stata 9, the by, nestreg, stepwise, xi, and possibly
> other prefix
> commands are allowed. That is, Stata 9 users get
> added functionality
> but everything else still works ok if you have 8.2.
> (I'm not sure
> how much longer I will try to keep new versions
> running under 8.2 but
> for now at least it was surprisingly easy to do.)
>
> * If the user considers them more appropriate for
> their data, probit,
> complementary log-log, and log-log links can be used
> instead of
> logit. The link() function specifies the link
> function to be
> used. The legal values are link(logit),
> link(probit), link(cloglog)
> and link(loglog) which can abbreviated as link(l),
> link(p), link(c)
> and link(ll). link(logit) is the default if the
> option is omitted.
>
> * The ancillary file gologit2.pdf contains many
> examples and has been
> updated to document the new features. However,
> ancillary files do
> not automatically get updated when you update the
> program. Therefore
> you may wish to download it directly from
>
> http://www.nd.edu/~rwilliam/gologit2/gologit2.pdf
>
> * For more info, there is a gologit2 general info
> page at
>
> http://www.nd.edu/~rwilliam/gologit2/index.html
>
> and a troubleshooting FAQ at
>
> http://www.nd.edu/~rwilliam/gologit2/tsfaq.html
>
> Here is the overall description of the program:
>
> gologit2 estimates generalized ordered logit models
> for ordinal
> dependent variables. A major strength of gologit2 is
> that it can also
> estimate three special cases of the generalized
> model: the
> proportional odds/parallel lines model, the partial
> proportional odds
> model, and the logistic regression model. Hence,
> gologit2 can
> estimate models that are less restrictive than the
> proportional odds
> /parallel lines models estimated by ologit (whose
> assumptions are
> often violated) but more parsimonious and
> interpretable than those
> estimated by a non-ordinal method, such as
> multinomial logistic
> regression (i.e. mlogit). Other key
> strengths of gologit2 include options for linear
> constraints,
> alternative model parameterizations, automated model
> fitting, survey
> data (svy) estimation, alternative link functions
> (logit, probit,
> complementary log-log and log-log), and the
> computation of estimated
> probabilities via the predict command. gologit2
> works under both
> Stata 8.2 and Stata 9 or higher. Syntax is the same
> for both
> versions; but if you are using Stata 9 or higher,
> gologit2 supports
> several prefix commands, including by, nestreg,
> xi and sw. gologit2 is inspired by Vincent Fu's
> gologit program and
> is backward compatible with it but offers several
> additional powerful options.
>
> -------------------------------------------
> Richard Williams, Notre Dame Dept of Sociology
> OFFICE: (574)631-6668, (574)631-6463
> FAX: (574)288-4373
> HOME: (574)289-5227
> EMAIL: [email protected]
> WWW (personal): http://www.nd.edu/~rwilliam
> WWW (department): http://www.nd.edu/~soc
>
> *
> * For searches and help try:
> *
> http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
"Some people see things as they are and say why.
I dream things that never were and say why not?"
Abhijit Sen Gupta
Graduate Student
University of California at Santa Cruz
Visit me : - http://econ.ucsc.edu/grads/abhijit
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*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
