Re: st: drawnorm for discrete variables

[John Antonakis <john.antonakis@unil.ch>]

Hi:

If you can't get Stata to do this, you might want to check out Mplus 
(www.statmodel.com), which can produce interesting combinations of 
variables in its Monte Carlo module. From the manual:

"Mplus has extensive Monte Carlo simulation facilities for both data
generation and data analysis. Several types of data can be generated:
simple random samples, clustered (multilevel) data, missing data, and
data from populations that are observed (multiple groups) or unobserved
(latent classes). Data generation models can include random effects,
interactions between continuous latent variables, interactions between
continuous latent variables and observed variables, and between
categorical latent variables. Dependent variables can be continuous,
censored, binary, ordered categorical (ordinal), unordered categorical
(nominal), counts, or combinations of these variable types. In addition,
two-part (semicontinuous) variables and time-to-event variables can be
generated. Independent variables can be binary or continuous. All or
some of the Monte Carlo generated data sets can be saved."

HTH,
J.

____________________________________________________

Prof. John Antonakis, Associate Dean 
Faculty of Business and Economics
Department of Organizational Behavior
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny
Switzerland

Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305

Faculty page:
http://www.hec.unil.ch/people/jantonakis

Personal page:
http://www.hec.unil.ch/jantonakis
____________________________________________________



On 30.04.2010 15:57, Tyler Frazier wrote:
> Hi, thank you for your response and observations.
>
> I am looking for a relatively simple answer, which I plan to improve
> upon in time.
>
> The data will be used in an urban simulation which incorporates a
> number of location choice models, regression, and other simple models.
>  For now I would like to establish a method for synthetically
> generating the data, for use in the larger spatial, framework.  At
> this point, I am seeking a plausible solution for running the urban
> simulation in order to observe its behavior.
>
> I want to generate a population of approximately 200,000
> persons/households. Ideally, the persons/households datasets for this
> african city would have the following variables (see below).
>
> As indicated, some of these variable are continuous (income), while
> others are categorical (tribal affiliation) or binary (sex)
>
> the survey itself is a fairly large sample, with about 3500 persons in
> approximately 1100 households, for the applicable metropolitan area.
> there is also a question of how to iteratively sample household and
> person data
>
> Any suggestions on the direction I should take are greatly appreciated.
>
> Best regards,
> Ty
>
> . summarize
>
>     Variable |       Obs        Mean    Std. Dev.       Min        Max
> -------------+--------------------------------------------------------
>     hhrelate |      3447    2.714244    1.887394          1         10
>          sex |      3447    1.506818    .5000261          1          2
> -------------+--------------------------------------------------------
>          age |      3447    27.49956    17.14807          3         90
>     ethnicit |      3291    22.25433    16.06378          1         90
>     religion |      3445    5.190131    4.651516          1         96
>     marstatu |      2808    3.746439    2.297089          1          6
>     educatio |      3181    3.600126    3.494621          1         16
> -------------+--------------------------------------------------------
>       income |      3444     6046706    2.21e+07          0   5.76e+08
>     occupati |      1382    561.4363    245.7125         11        933
>     industry |      1376    5334.578    2261.297        111       9900
>       sector |       757    6.015852    2.695727          1         10
>
>
>
>
> On Fri, Apr 30, 2010 at 3:39 PM, Maarten buis <maartenbuis@yahoo.co.uk> wrote:
>   
> > --- On Fri, 30/4/10, Tyler Frazier wrote:
> >     
> > > How to synthetically generate a population from a
> > > sample where the variables are continuous, discrete
> > > and binary?
> > >       
> > The answer can range from very simple to very hard
> > (impossible), and it depends on what you want to
> > use the sample for and on what kind of information
> > you have to base your sampling on.
> >
> > -- Maarten
> >
> > --------------------------
> > Maarten L. Buis
> > Institut fuer Soziologie
> > Universitaet Tuebingen
> > Wilhelmstrasse 36
> > 72074 Tuebingen
> > Germany
> >
> > http://www.maartenbuis.nl
> > --------------------------
> >
> >
> >
> >
> > *
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> >
> >     
>
> *
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>   
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