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Children’s Activities Survey 2009

Moldova, 2009
Reference ID
MDA_2009_CAS_v01_M
Producer(s)
National Bureau of Statistics (NBS)
Metadata
DDI/XML JSON
Created on
Dec 22, 2014
Last modified
Mar 29, 2019
Page views
13133
Downloads
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  • Study Description
  • Data Dictionary
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    MDA_2009_CAS_v01_M

    Title

    Children’s Activities Survey 2009

    Country
    Name Country code
    Moldova MDA
    Study type

    Labor Force Survey [hh/lfs]

    Series Information

    The 2009 Children’s Activities Survey (CAS) was the first CAS survey conducted in Republic of Moldova by National Bureau of Statistics in collaboration with IPEC and UNICEF. The survey covered 11,526 households containing 34,157 individuals, 6,784 of whom were children between the ages of 5-17 years.

    Abstract

    The Children’s Activities Survey (CAS) was conducted by the National Bureau of Statistics of Moldova in October-December 2009 as a module of the nationwide Labour Force Survey (LFS) that has been implemented in Moldova on a quarterly basis since 1998. The CAS provides reliable estimates on the activities of children aged 5-17 (inclusive) for the nation as a whole; for the four statistical regions of Moldova (North, Centre, South, Chisinau Municipality); by geographical area (urban/rural); and by sex (male/female).

    The survey aimed to provide an understanding of the prevalence of employment among children and child labour, the main characteristics of working children, and the potential consequences of employment as measured by school and health outcomes.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Children aged 5-17

    Scope

    Notes

    The 2009 Children’s Activities Survey covered the following topics:

    • Household composition
    • Household conditions
    • Educational attainment
    • Economic activity
    • Unpaid household services
    • Health and safety issues

    Coverage

    Geographic Coverage

    National coverage

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Bureau of Statistics (NBS) Government of Republic of Moldova
    Producers
    Name Role
    International Programme on the Elimination of Child Labour Technical support
    Funding Agency/Sponsor
    Name Role
    Government of Republic of Moldova Funded the study
    United Nations Children’s Fund in Moldova Contributed financially to enhancing NBS capacity in child labour data collection and printing of the results

    Sampling

    Sampling Procedure

    Sample Design
    The CAS was conducted as a module of a larger, regularly conducted Labour Force Survey (LFS), which is the main survey instrument used to collect labour market data in Moldova. The sample size was chosen so as to allow for representative estimates of key child-labour indicators for the country at large as well as for urban and rural areas and for the four statistical regions of the country, namely, North, Centre, South and Chisinau Municipality, which includes the capital city.

    Sample Selection
    The LFS employs a complex, two-stage sample design based on probabilistic sampling. In Stage I, all primary sampling units (PSU) from the Multi-dimensional Sample for Social Research (EMDOS) master sample were included, with the PSUs in the EMDOS selected using probability-proportional-to-size (PPS) sampling. Population Census lists (2004) combined with the lists of electricity consumers (2007) were also used as the sampling frame. In Stage II, households were initially selected using simple random sampling (SRS); from these, households identified as having children aged 5-17 – the target population – were selected for interviewing in the CAS. The sampling frame for Stage II was comprised of the LFS sample for the first, second and fourth quarter.

    The CAS survey was conducted as an ad-hoc survey using the LFS sample for the first, second and the fourth quarter of 2009. The LFS sample comprises 12,000 households in 150 Primary Sampling Units (PSUs). Due to the rotational structure of the LFS, some households included in the LFS are interviewed in more than one consecutive month/quarter. Consequently, the total sample size for the CAS would be 36,000 households (LFS: Q1+Q2+Q4), if it were to include the multiple appearances of each household in the rotation scheme. However, in calculating the CAS sample size, individual households were counted only once. Thus, the CAS sample size consisted of 18,400 households, comprised of 23 rotational groups (sub-samples) of 800 households each, and was estimated to include 5,054 households with at least one child aged 5-17 years. This sample was obtained by combining a sub-sample of 3,534 households that had been sampled in the LFS for the first and second quarters of 2009 (Rotational Groups a-g and j-s) with a sub-sample of 1,520 households that were not included in the LFS until after the second quarter of 2009 (Rotational Groups t-y). Estimated numbers of children aged 5-17 expected to be interviewed included 2,194 in the first sub-sample and 5,246 in the second sub-sample, for a total estimate of 7,440 children.

    Weighting

    Data weighting is an efficient procedure used to obtain unbiased estimates of population parameters. The weighting procedure involves assigning extension coefficients (‘weights’) to each respondent in the sample to show how many individuals from the general population are represented by any given respondent. This requires an initial determination of basic weights, adjusting these weights in line with response rates, and calibrating the adjusted weights using auxiliary information in order to improve the quality of the final estimates.

    For those households in the CAS sample that had not participated in the LFS until the 4th quarter of 2009, basic weights were computed, whereas for households in the CAS sample that had already participated in the LFS in 2009, the final weights assigned at the time they last participated in the LFS were taken as the basic weights for the CAS.

    Further details on weight calculations are given in Appendix D of the final report.

    Survey instrument

    Questionnaires

    The CAS questionnaire was developed based on the ILO/SIMPOC model Child Labour Survey questionnaire and was appended as a module to the LFS, which is conducted quarterly and is addressed to individuals 15 years of age and over. Like most labour force surveys, it collects information on basic demographics, employment outcomes and inactivity. Since 2006, the LFS has also collected information on labour market earnings of adults; however, this information is not publicly released.

    The CAS consists of 43 questions distributed over four main sections, namely: Educational Attainment; Economic Activity; Unpaid Household Services; and Health and Safety Issues. Although the questionnaire is addressed to children aged 5-17, in 36.3 percent of cases (n=2,454 children), another household member answered the questionnaire on the child’s behalf. The proportion of children answering the questionnaire themselves increased with age up until age 14 (76.6%), but decreased thereafter up until age 17 (62%).

    Data collection

    Dates of Data Collection
    Start End
    2009-10 2009-12
    Data Collectors
    Name Affiliation
    National Bureau of Statistics Government of Republic of Moldova

    Data appraisal

    Data Appraisal

    Data Calibration
    After weighting for non-response, data was calibrated in order to adjust the marginal distribution of variables (sex, age urban/rural, region) within the sample to that of the actual population (according to the current demographic statistics as of 1 January 2009). Calibration was performed until population estimates for each variable were adjusted to within 1.0 percent of the actual reported population.

    Further details on data calibration process is given in Appendix D of the final report.

    Data Access

    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigator
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Contacts

    Contacts
    Name Email URL
    National Bureau of Statistics (NBS) moldstat@statistica.md http://www.statistica.md/index.php?l=en

    Metadata production

    DDI Document ID

    DDI_MDA_2009_CAS_v01_M_WB

    Producers
    Name Affiliation Role
    Development Data Group The World Bank Metadata preparation
    Date of Metadata Production

    2014-10-16

    Metadata version

    DDI Document version

    Version 01 (October 2014)

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