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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: backfill missing data |

Date |
Tue, 24 Aug 2010 17:30:12 +0100 |

As previously advised, 1. You have panel data which you are holding in a -wide- structure. 2. On the whole that's a bad idea and you would be better off with a -long- structure. Ignoring this advice is likely to deter many Statalist members from paying this kind of question very much attention. Stata has lots of tricks for handling panel data held in a long structure. If you choose to work with panel data held in a wide structure _some_ things are easier but the difficult things are often _much_ more difficult and it needs considerable Stata fluency to avoid messing around for hours and hours and hours with programming. Homilies aside, I don't understand most of the specifics here. For example I don't understand the relationship between -stfin1_*- and -stfin2_*- and in particular why "stfin2_2000 should be copied to stfin1_1999". That said, this code might give you ideas on Stata technique which you can modify for your real problem. foreach y in 1999 1998 { local yp1 = `y' + 1 replace stfin1_`y' = st_fin1_`yp1' if missing(stfin1_`y') replace stfin2_`y' = st_fin2_`yp1' if missing(stfin2_`y') } See also http://www.stata.com/support/faqs/data/missing.html for the "long" approach here and SJ-9-1 pr0046 . . . . . . . . . . . . . . . . . . . Speaking Stata: Rowwise (help rowsort, rowranks if installed) . . . . . . . . . . . N. J. Cox Q1/09 SJ 9(1):137--157 shows how to exploit functions, egen functions, and Mata for working rowwise; rowsort and rowranks are introduced for various tips and tricks for the "wide" structure. Naturally, you will need to compensate in your analysis for this rather rigid imputation. You really will have fewer data than might appear to be the case. Nick n.j.cox@durham.ac.uk David Torres I'm working with longitudinal data (12 rounds of info collected so far) and need to backfill information for respondents who were not interviewed in a given year subsequent to round 1. Information on my variables of interest, when not collected in a round due to noninterview, can be gathered in the next round in which respondents are interviewed. I'd like to carry that information back so that it fills in the missing cells in the year and job number to which it should apply. I've concatenated unformatted date variables for each year and job number so that start and finish dates for a job are carried back together. Every pair of numbers, then, including the space in between, represent a start and finish date. All dates here, though for example purposes only, are year specific. An example of what I have, then, is: pubid stfin1_1998 stfin2_1998 stfin1_1999 stfin2_1999 stfin1_2000 stfin2_2000 1 13901 14200 14100 14200 14247 14590 2 13890 14198 14310 14525 3 14000 14208 14311 14915 4 13883 14650 14351 14600 14635 14900 For pubid 1, the values in stfin1_2000 would be copied to stfin1_1999 as it applies to that year. The same goes for pubid 2. In pubid 3, stfin1_2000 should be copied to stfin1_1998 as it applies to that year; stfin2_2000 should be copied to stfin1_1999 since it applies to that year. In pubid 4, stfin1_1999 should be copied to stfin1_1998. I only mean to copy follow-up year information to cells for which current year information is missing, or ". ." Is there an easy way to do this across several years and job numbers at the same time? Perhaps using a foreach command? * * 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: backfill missing data***From:*David Torres <torresd@umich.edu>

**References**:**st: backfill missing data***From:*David Torres <torresd@umich.edu>

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