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From |
Nick Cox <n.j.cox@durham.ac.uk> |

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

Subject |
st: RE: Attrition question... |

Date |
Sun, 24 Oct 2010 17:37:33 +0100 |

A solution follows by analogy with an FAQ: FAQ . . . . . . . . . . . . . . . . . . Dropping spells of missing values . . . . . . . . . . . . . . . . . . . . . . . N. J. Cox and G. Longton 3/07 How can I drop spells of missing values at the beginning and end of panel data? http://www.stata.com/support/faqs/data/dropmiss.html See its section 5 in particular. I assume panel identifier -id- and time variable -time- and that the variable -interviewed- is a string variable. gsort id -time by id : drop if sum(interviewed == "y") == 0 Alternatively, assume that -interviewed- is an indicator variable 1 for interviewed and 0 for not. The second line becomes . by id: drop if sum(interviewed) == 0 Although your posting does not explain some key features of your dataset, you should be able to modify solutions like this after study of the FAQ. On the other hand, I don't understand where the -reshape wide- idea comes from. Datasets like this are best kept long. Also, I don't know what IPTW weights are. Nick n.j.cox@durham.ac.uk David Diego Torres, MA(Sociology) PhD Candidate in Sociology I have a longitudinal file on which I just completed multiple imputation. It has been reshaped to long format. I need to cycle through each case and drop all instances for which someone was missing in a round and was never interviewed again up to the most recent survey round. Is there a quick and easy way to do this? For a case like this: id interviewed? ... ... 1 y 1 n 1 y 1 y 1 y 1 n 1 n 1 n 1 n I would like to drop all information from round six on. The purpose is to drop the fully attrited cases, then reshape wide, then back to long. Then I can calculate IPTW weights. * * 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: RE: Attrition question...***From:*David Torres <torresd@umich.edu>

**References**:**st: Attrition question...***From:*David Torres <torresd@umich.edu>

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