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From |
John Antonakis <john.antonakis@unil.ch> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: drawnorm for discrete variables |

Date |
Fri, 30 Apr 2010 16:08:37 +0200 |

Hi:

"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. ____________________________________________________

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 -------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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**References**:**Re: st: drawnorm for discrete variables***From:*Tyler Frazier <tyfrazier@gmail.com>

**Re: st: drawnorm for discrete variables***From:*Maarten buis <maartenbuis@yahoo.co.uk>

**Re: st: drawnorm for discrete variables***From:*Tyler Frazier <tyfrazier@gmail.com>

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