multinational time use study user's guide and documentation

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Value Label Value Label1 Canada 18 Italy2 Denmark 19 Australia3 France 20 Israel4 Netherlands 21 Sweden5 Norway 22 Germany6 UK 23 Austria7 USA 24 South Africa8 Hungary 25 Spain9 Japan 26 Estonia10 Poland 27 Brazil11 Belgium 28 Ireland12 Bulgaria 29 Korea (South)13 Czechoslovakia 30 Mexico14 India 31 New Zealand15 Peru 32 Portugal16 Russia 33 Romania17 Finland 34 SloveniaSURVEY: Year the survey beganThis variable records the 4-digit year in which data collection began..SWAVE: Longitudinal study wave markerThis variable is relevant only for surveys that are longitudinal.Value Label0 Not longitudinal1 Wave 12 Wave 23 Wave 34 Wave 4Note that in the case of Denmark 1987/2001 (with multiple samples), the code “1”in 1987 and “2” in 2001 indicates a longitudinal case, while the code ‘0’ indicatesthat that it is not a longitudinal case.
MSAMP: Multiple samples using the same diary instrumentValueLabel0 One sample1 Szalai USA 1965 sample2 National USA 1965 sample3 USA 1998-994 USA 2000-015 Slovenia in Szalai Yugoslavia6 Serbia in Szalai Yugoslavia7 UK 1983/84 autumn, winter8 UK 1987 July9 East Germany10 West GermanyHLDID: Household identifierThis variable uniquely identifies households for those studies where more thanone household member completed a diary. For surveys in which only one personper household completed a diary and no household identifier is included in theoriginal data, HLDID=0. For surveys in which only one person per householdcompleted a diary but a household identifier is included, HLDID takes the originalvalue for the corresponding variable. If the household identifier should becombined with a higher level identifier, such as sampling region, then the value ofHLDID should combine the larger group identifier and the household identifier sothat each HLDID uniquely identifies one household.In some limited cases, the original survey data does not include a householdidentifier even though the study collected a diary from more than one person inthe household. In these cases, we construct a household identifier using acombination of other variables that enable us to make a unique identification (fulldetails of these cases are explained in the survey conversion files where this wasneeded).If the household identifier maps to other data but is not relevant to the time usesurvey or if the household identifier needs to be computed or adjusted in anyway, an explanatory note should be included in the readme documentation file.The household identifier should enable users to match MTUS data back to theoriginal survey.
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MULTINATIONAL TIME USE STUDYUSER’
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AcknowledgementsThe development of
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INTRODUCTIONThis User’s Guide and
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Statistics, Statistics Finland and
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food and drink, that is attending a
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Belgium 1965 5.01999 Hope to includ
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1975-76 5.521985 5.53 5.8 6.01992-9
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The year of the survey (4-digit); T
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contain no declared missing values.
Page 20 and 21: the activity. As some examples, ind
Page 22 and 23: Note that only quality diaries have
Page 24 and 25: AGE by subtracting the year of birt
Page 26 and 27: the week, we included this weight u
Page 28 and 29: SEDWT4: Sex, age, employment, day,
Page 30 and 31: which the BLS identified as the gol
Page 32 and 33: Including suchactivities as:Normal
Page 34 and 35: (Other) tasks in and around the hom
Page 36 and 37: AV15: Meals/snacksIncluding suchact
Page 38 and 39: Notes: Include variables concernin
Page 40 and 41: AV36: RelaxIncluding suchactivities
Page 42 and 43: MAIN/SEC 11MAIN/SEC 12MAIN/SEC 13MA
Page 44 and 45: AV9Main23Main27Main32adult care sep
Page 46 and 47: MAIN3 / SEC3 : Imputed sleepIncludi
Page 48 and 49: Including suchactivities as:Schedul
Page 50 and 51: Notes: Not done for pay If done as
Page 52 and 53: MAIN31 / SEC31 : Supervise, accompa
Page 54 and 55: Notes: If working at restaurant, p
Page 56 and 57: MAIN52 / SEC52 : Artistic or musica
Page 58 and 59: Including suchactivities as:Travel
Page 60 and 61: START: Start minuteEND: End minuteT
Page 62 and 63: start and stop minute of episodes n
Page 64 and 65: ICT = 0ICT = 1no/not known if compu
Page 66 and 67: Who else presentvariablesALONE = 0A
Page 68 and 69: CHAPTER 4: DIARY, DEMOGRAPHIC ANDSO
Page 72 and 73: PERSID: Person/diarist identifierTh
Page 74 and 75: 2 February3 March4 April5 May6 June
Page 76 and 77: 26 Missing age/sex, day of week, 91
Page 78 and 79: members (if only in influencing the
Page 80 and 81: Value Label1 lowest 25%2 middle 50%
Page 82 and 83: SEX: SexValue Label1 Man2 WomanAGE:
Page 84 and 85: This variable is highly comparable
Page 86 and 87: UNEMP: UnemployedThis variable indi
Page 88 and 89: paid work for any diarist who answe
Page 90 and 91: This variable refers to the diarist
Page 92 and 93: episode level weight is less clear.
Page 94 and 95: The elements of a quantitative diar
Page 96 and 97: to take up an activity, diary data
Page 98 and 99: REFERENCESNote that there is a larg
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