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From |
"Martin Weiss" <martin.weiss1@gmx.de> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: RE: calculating standard deviation of age at death from period life tables |

Date |
Sun, 7 Mar 2010 20:30:18 +0100 |

<> Either use frequency weights (first example) or -expand- to the required number: ******* clear* inp int(age number) 0 2000 1 1900 2 600 end list, noo ta age [fw=number] expand number ta age ******* HTH Martin -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Johannes Schoder Sent: Sonntag, 7. März 2010 20:25 To: statalist@hsphsun2.harvard.edu Subject: st: calculating standard deviation of age at death from period life tables Dear Statalist users: I want to calculate the standard deviation of age at death from period life tables: So I know how many people died at age x, where x runs from 0,1,2...110: For example, in 2004 in the US people 2000 died at age 0, 1900 at age 1, 600 at age 2, etc. What I think is the right way of calculating is: To generate a new variable that contains 2000 times 0, 1900 times 1, 600 times 2 etc... But I don't know how I can generate this new variable in Stata most efficiently... Thanks a lot for any hint! Regards, Johannes -- Johannes Schoder Socioeconomic Institute University of Zurich Hottingerstr. 10 8032 Zurich Phone: +41 44 634 0612 Fax: +41 44 634 4987 E-mail: johannes.schoder@soi.uzh.ch * * 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/

**Follow-Ups**:**st: RE: RE: calculating standard deviation of age at death from period life tables***From:*"Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>

**References**:**st: calculating standard deviation of age at death from period life tables***From:*Johannes Schoder <johannes.schoder@soi.uzh.ch>

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