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Work and Employment

This section describes the work and employment status of our study respondents.

 Data modulesCollection freq.Variables fieldedDownload here
1EmploymentCore (Monthly)24Download data
2TrainingIntermittent/ one-off76Download data
3LabourIntermittent/ one-off70Download data
4Work expectationsIntermittent/ one-off49Download data
5Age discriminationIntermittent/ one-off8Download data
6UnemploymentIntermittent/ one-off1Download data

 

Information

  1. Data modules categorized according to domain sections.
  2. Collection freq. indicates when the data collection was operationalized
    1. Baseline: data collected at baseline (w00).
    2. Core (Monthly): data collected every monthly wave (w01 to w60) after baseline.
    3. Quarterly: data collected every quarter after baseline.
    4. Annually: data collected every annual year after baseline.
    5. Intermittent / one-off: data collected either once or intermittently for ad-hoc research.
  3. Variables fielded indicates number of data items field per data module.

After downloading

 AttributeDescription
1varnameoriginal variable names for the data items
2vardescoriginal phrasings in our questionnaires to describe the data items
3type

broadly indicate the type of data response in the questionnaire:

  • integer: numerical response in integer data format
  • string: text response in string data format
  • mcq: multiple-choice question which requires a single response category
  • miq: multiple indicator question which requires multiple response categories.
4multiple choice responses (mcq)if type is "mcq", the response categories are displayed in its number value with its data label. For instance, "1 Yes" and "0 No" in binary items and "1 Very often", "2 Occasionally", and "3 Once or twice" categorical items with two or more responses. However, these data items are formatted its number value in the dataframe.
5multiple indicator responses (miq)if type is "miq", the response categories are also displayed in its data number value with its data label. To facilitate multiple answers in both data dictionary and dataframe, we will field and format as dummy binary indicators (1:yes/0:no) in the dataframe for each response category. In the sample data dictionary, these binary indicators are named with suffixes (s1, s2, s3, and s4) and detailed in separate rows.
6field_noindicates the number of times for each data items were operationalize across waves starting from baseline (w00).
7w00 to w60"x" indicates that wave was operationalized by the data items.

 

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