Census Editing and the Art of Motorcycle Maintenance

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Census Editing and the Art of Motorcycle Maintenance. Michael J. Levin Center for Population and Development Studies Harvard University Michael.levin@yahoo.com. The Census Process. Data collection Capture Editing Tabulation and Dissemination Archiving. History of census editing. - PowerPoint PPT Presentation

Text of Census Editing and the Art of Motorcycle Maintenance

  • Census Editing and the Art of Motorcycle Maintenance

    Michael J. LevinCenter for Population and Development StudiesHarvard UniversityMichael.levin@yahoo.com

    Harvard Center for Population and Development Studies

  • Harvard Center for Population and Development Studies

  • The Census ProcessData collectionCaptureEditingTabulation and DisseminationArchiving

    Harvard Center for Population and Development Studies

  • History of census editingEarly years manual or nothingComputersWithin record editingBetween record editingHot decking

    Harvard Center for Population and Development Studies

  • What is editingEditing is the systematic inspection of invalid and inconsistent responses, and subsequent manual or aurtomatic correction according to pre-determined rules.

    The editing team!!

    Harvard Center for Population and Development Studies

  • Why edit?Edited vs unedited dataAlways preserve original dataConsider the users!!

    Harvard Center for Population and Development Studies

  • Table 1. Sample population by 15-year age group and sex, using unedited and edited data

    Harvard Center for Population and Development Studies

  • Initial data sets contain errorsHow over-editing is harmfulTimelinessFinancesDistortion of true valuesFalse sese of security

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  • What we have to look out forTreatment of unknownsSpurious changesUsing tolerancesLearning from the editing processQuality assuranceCosts of editing

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  • Types of CorrectionManual correctionNamesSexAutomatic correctionAssign an unknownAssign a valueImpute a value

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  • Types of editingTop DownThe usual wayIs simple and straight forwardMultiple-variable editing approachUses more informationIs likely to be a better guess

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  • Two parts of a national editStructure editingContent editing

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  • Methods of Correction and ImputationWhen imputation is not needed toggling sexesStatic imputation cold deck techniqueDynamic imputation hot deck technique

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  • Goals of the editImputed household should closely resemble failed edit householdImputed data should come from a single donor person or house resembling doneeEqually good donors should have equal chances

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  • Figure 1. Sample editing specifications to correct sex variable, in pseudocode

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  • Hot DeckGeographic considerationsUse of related itemsOrder of the items changes the matricesComplexity of the imputation matrices

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  • In developing hot decksImputation matrices structure of the matricesStandardized imputation matricesSeeding the decksBig, but not too bigUnderstanding what the matrix is doingWhen the matrix is too small Occupation and industry!!

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  • Aids to checking editsListingsWriting whole households before and after with changesFrequency matrices

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  • Figure 4. Example of a listing summary for Malawi 2008 Census[LISTING]

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  • Figure 5. Example of a listing summary for Lesotho 2006 Census[LISTING]

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  • Figure 8. Example of a write listing for Ethiopia 2007 Census[WRITE]

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  • Figure 10. Example of a frequency distribution for Sudan 2008 Census[FREQUENCY]

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  • Figure 11. Example of a frequency distribution for additional edit for Zambia 1990 Census[FREQUENCY]

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  • Other considerationsRunning the edit three times: seed, run, checkSaving original responsesImputation flags

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  • ConclusionsEdits part of the series of census proceduresUsually more for aesthetics than technical enhancementHardware and software changing rapidlyThe revolution continues!

    Harvard Center for Population and Development Studies