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From |
Amadou DIALLO <stata.diallo@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Spss's aggregate vs stata's collapse. |

Date |
Wed, 13 Apr 2011 08:39:35 +0100 |

Hi, I am translating spss commands to stata and have trouble with different outputs. Results are different after "aggregate" for ceb (children ever born). What am I doing wrong? ************************* STATA . u wm . . su wmweight Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- wmweight | 13232 .9711907 .8265843 0 9.415976 . . *total children ever born. . cap drop ceb . g ceb = 0 . replace ceb = ceb + cm5a if cm4==1 & cm4 <. (7139 real changes made) . replace ceb = ceb + cm7a if cm6==1 & cm6 <. (1906 real changes made) . replace ceb = ceb + cm9a if cm8==1 & cm8 <. (2643 real changes made, 1 to missing) . . su wage ceb [aw=wmweight] Variable | Obs Weight Mean Std. Dev. Min Max -------------+----------------------------------------------------------------- wage | 12850 12850.7953 3.285289 1.880707 1 7 ceb | 12849 12849.5159 1.673058 1.819984 0 12 . . collapse (sum) ceb [aw=wmweight], by(wage) . su wage ceb // [aw=wmweight] Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- wage | 7 4 2.160247 1 7 ceb | 7 3043.916 1347.549 372.23 4025.187 ************************* END ************************* SPSS get file='WM.sav'. DESCRIPTIVES /VAR=wmweight. Descriptive Statistics N Minimum Maximum Mean Std. Deviation Women's sample weight 13232 .000000 9.415976 .97119070 .826584294 Valid N (listwise) 13232 weight by wmweight. *total children ever born. compute ceb = 0. if (CM4 = 1) ceb = ceb + CM5A. if (CM6 = 1) ceb = ceb + CM7A. if (CM8 = 1) ceb = ceb + CM9A. DESCRIPTIVES /VAR=wage. Descriptive Statistics N Minimum Maximum Mean Std. Deviation Age 12851 1 7 3.29 1.881 Valid N (listwise) 12851 Warning # 3211 On at least one case, the value of the weight variable was zero, negative, or missing. Such cases are invisible to statistical procedures and graphs which need positively weighted cases, but remain on the file and are processed by non-statistical facilities such as LIST and SAVE. DESCRIPTIVES /VAR=ceb. Descriptive Statistics N Minimum Maximum Mean Std. Deviation Enfants nés 12850 0 12 1.67 1.820 Valid N (listwise) 12850 Warning # 3211 On at least one case, the value of the weight variable was zero, negative, or missing. Such cases are invisible to statistical procedures and graphs which need positively weighted cases, but remain on the file and are processed by non-statistical facilities such as LIST and SAVE. aggregate outfile = 'tmpcmr.sav' /break wage /ceb = sum(ceb). Warning # 3211 On at least one case, the value of the weight variable was zero, negative, or missing. Such cases are invisible to statistical procedures and graphs which need positively weighted cases, but remain on the file and are processed by non-statistical facilities such as LIST and SAVE. get file='tmpcmr.sav'. DESCRIPTIVES /VAR=wage. Descriptive Statistics N Minimum Maximum Mean Std. Deviation Age 7 1 7 4.00 2.160 Valid N (listwise) 7 DESCRIPTIVES /VAR=ceb. Descriptive Statistics N Minimum Maximum Mean Std. Deviation ceb 7 365.76 4023.94 3071.1412 1363.65690 Valid N (listwise) 7 ************************* END -- Amadou B. DIALLO, PhD. Economist (Anti-Poverty Programs - DR Congo), AFTP3, The World Bank, Washington DC. Director, Center for Research and Training on Adult Health and Education. Mayotte (FRANCE). www.aprosasoma.org * * 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**:**Re: st: Spss's aggregate vs stata's collapse.***From:*brendan.halpin@ul.ie (Brendan Halpin)

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