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Re: st: Stata 13.1


From   "Dimitriy V. Masterov" <dvmaster@gmail.com>
To   Statalist <statalist@hsphsun2.harvard.edu>
Subject   Re: st: Stata 13.1
Date   Wed, 30 Oct 2013 13:01:23 -0700

I am also having Mac update issues with Mountain Lion:

. update all
(contacting http://www.stata.com)

Update status
    Last check for updates:  30 Oct 2013
    New update available:    none         (as of 30 Oct 2013)
    Current update level:    07 Oct 2013  (what's new)

Possible actions

    Do nothing; all files are up to date.

. update all, force
(contacting http://www.stata.com)

downloading executable files ...      complete
downloading utility files ...         complete
downloading documentation files ...   complete
downloading ado files ...             file
http://www.stata.com/updates8/ado/contents not found
server says file temporarily redirected to http://www.stata.com/error/404.html
r(601);

On Wed, Oct 30, 2013 at 11:24 AM, Alfonso Sánchez-Peñalver
<alfonso.statalist@gmail.com> wrote:
> Hi William,
>
> I am having trouble installing this update. I am using Stata SE 13 for Mac in Mac OS X v. 10.9, i.e. Mavericks. The message I get when I type update all, and after I confirm that it is OK to close Stata is:
>
> cannot write in directory /Applications/Stata/.tmp
>
> The fact is that the directory doesn’t exist. I have tried creating it, but the system will not let me because it says that directory names that start with a . are reserved for system directories and asks me to enter a different name.
>
> Is there any way around this?
>
> Thanks
>
> Alfonso Sanchez-Penalver
>
> On Oct 30, 2013, at 1:53 PM, William Gould, StataCorp LP <wgould@stata.com> wrote:
>
>>    We just released Stata 13.1.  It's a free update.  Type
>>
>>        . update query
>>
>>    and follow the instructions.
>>
>>    Stata 13.1 has new features in three areas,
>>
>>        1.  Added features to -power- for handling ANOVA models and
>>            for adding your own statistics.
>>
>>        2.  More models for handling censored continuous outcomes.
>>
>>        3.  Added univariate time-series commands.
>>
>>
>>
>> 1.   Added features in -power-
>> ------------------------------
>>
>>    First, Stata's -power- command, Stata's command for performing
>>    power and sample size analysis, now handles ANOVA models: one-way,
>>    two-way, and repeated-measures models.
>>
>>    Specify any two of (1) sample size, (2) power, or (3) effect size
>>    and you can calculate the third, and you can calculate over ranges
>>    of the variables to produce tables and graphs.
>>
>>    For more about this new feature, see the Stata News:
>>
>>    http://stata.com/stata-news/news28-4/power-and-sample-size/
>>
>>    Second, the other new feature is the one Yulia Marchenko has been
>>    talking about at the recent User Meetings and Stata Conference:
>>    the ability to add you own tests and statistics to -power-.  Write
>>    one program to calculate the power, sample size, or effect size,
>>    and then -power- will produce all the fancy output, tables, and
>>    graphs.
>>
>>    See the example at the Stata News:
>>
>>    http://stata.com/stata-news/news28-4/custom-methods-power-and-sample-size/
>>
>>
>> 2.  Censored continuous outcomes
>> --------------------------------
>>
>>    With censored outcomes, the exact values for some subjects are not
>>    observed; one knows only that the value is in a certain range, or
>>    bottom coded, or top coded.  Incomes are known up to $100,000 and
>>    top coded after that.
>>
>>    Stata 13 already had commands for dealing with censored outcomes.
>>    These included -tobit-, -intreg-, -ivtobit-, and more.
>>
>>    What's new in Stata 13.1 is all the things you can do, models you
>>    can fit, and data you can use use with censored outcomes:
>>
>>        1.  Panel data and random coefficients.  Stata 13 had
>>            -xtintreg-, which allowed for random effects, meaning
>>            random intercepts with censored outcomes.  Now you can
>>            handle models with random coefficients, too.  And you now
>>            have random intercepts and random coefficients at multiple
>>            levels of the data.
>>
>>        2.  Selection models.  Stata 13 had selection models.  Now it
>>            has selection models combined with censored outcomes.
>>
>>        3.  Average Treatment Effects (ATEs).  We added
>>            treatment-effects estimators in Stata 13; Stata 13.1
>>            provides treatment-effects estimation with censored
>>            outcomes.
>>
>>        4.  Endogenous covariates.  Stata obviously had lots of
>>            commands that deal with endogenous covariates.  As far as
>>            endogenous covariates and censored outcomes, Stata 13 had
>>            -ivtobit-.  New features allow for interval measured data.
>>
>>        5.  Multivariate models.  Stata 13 had -mvreg-, -sureg-, and
>>            -reg3-.  Now we have all of those features for censored
>>            outcomes.  Some or all of the outcome variables can be
>>            censored.
>>
>>        6.  Endogenous switching models.  You have one process
>>            describing one regime, another process describing another
>>            regime, and perhaps a third process describing a third
>>            regime; and you have a process that describes regime
>>            assignment.  All the processes are potentially correlated.
>>            In Stata 13 you could fit these models.  In Stata 13.1 you
>>            can fit them with censored outcomes.
>>
>>    Here's the big news:  all these new features can be combined.  You
>>    can even fit a tobit model with random effects, random
>>    coefficients, sample selection, and endogenous covariates.
>>
>>    All of the above is available due to the new features we have added
>>    to -gsem-.  The manual has been updated, too.  Also see the examples
>>    presented in the Stata News at
>>
>>    http://stata.com/stata-news/news28-4/censored-outcomes-and-tobit/
>>
>>
>>
>>
>>
>> 3.  Added univariate time-series commands
>> -----------------------------------------
>>
>>    Two new commands and an extension to two others calculate,
>>
>>        1.  IRFs for ARIMA and ARFIMA models.
>>            IRF stands for Impulse-Response Function.
>>            (Extension to -irf-).
>>
>>        2.  Parametric autocorrelation graphs after fitting ARIMA and
>>            ARFIMA models.
>>            (New command -estat ac-.)
>>
>>        3.  Stability checks after fitting ARIMA models.
>>            (New command -estat aroots-.)
>>
>>        4.  Parametric spectral densities after fitting seasonal ARIMA
>>            models.
>>            (Extension to psdensity)
>>
>>     See in the Stata news
>>
>>        http://stata.com/stata-news/news28-4/time-series/
>>
>>
>>
>> Oh, by the way, we've added three more noncentral chi-squared functions
>>
>>          nchi2den()         density
>>          nchi2tail()        reverse cumulative
>>          invnchi2tail()     inverse of reverse cumulative
>>
>> It's free, so what's not to like?
>>
>>
>> -- Words by Bill Gould and Vince Wiggins.
>>    Work by the Stata Development Team.
>>
>> *
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>
>
> *
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