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From |
"Medina, Tait Runnfeldt" <tmedina@indiana.edu> |

To |
"Rodrigo Alfaro A." <ralfaro@bcentral.cl>, "statalist@hsphsun2.harvard.edu"<statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: ice and random-number seed |

Date |
Fri, 22 Aug 2008 14:34:36 -0400 |

Removing the weights does not seem to fix the problem. However, I am able to work around the problem and obtain reproducible results by manually setting the seed both before -ice- and before -mim-. The -seed- option in -ice- does not need to be used. For example: set seed 1234 ice var1 var2 var3 , m(2) set seed 1234 mim: reg var1 var2 var3 Thank you for all of your suggestion. Tait -----Original Message----- From: Rodrigo Alfaro A. [mailto:ralfaro@bcentral.cl] Sent: Friday, August 22, 2008 10:16 AM To: statalist@hsphsun2.harvard.edu Cc: Medina, Tait Runnfeldt Subject: RE: st: ice and random-number seed /// Tait, I think that your case is more complicated than Maarten's example. (1) You are using weights. If I recall correctly ICE produces results using iterations => order matters. My suggestion is to try your problem without weights. (2) Sorting could make some differences here. You could try imputing one dataset each time using a specific seed. It is expected the correlations between imputed variables (original y replication) should be one. Under (1) you have no solution. Under (2) you could control the problem imputing 1 dataset at the time with specific seeds. We had problem (2) with user-written routine hotdeck. Rodrigo. * * 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/

**References**:**st: ice and random-number seed***From:*"Medina, Tait Runnfeldt" <tmedina@indiana.edu>

**Re: st: ice and random-number seed***From:*Richard Williams <Richard.A.Williams.5@ND.edu>

**RE: st: ice and random-number seed***From:*"Medina, Tait Runnfeldt" <tmedina@indiana.edu>

**RE: st: ice and random-number seed***From:*"Rodrigo Alfaro A." <ralfaro@bcentral.cl>

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