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Labour Force Survey 2012

Kosovo, 2012
Reference ID
KSV_2012_LFS_v01_M
Producer(s)
Kosovo Agency of Statistics
Metadata
DDI/XML JSON
Created on
Oct 10, 2017
Last modified
Oct 10, 2017
Page views
12034
Downloads
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  • Study Description
  • Data Dictionary
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Identification

    Survey ID number

    KSV_2012_LFS_v01_M

    Title

    Labour Force Survey 2012

    Country
    Name Country code
    Kosovo KSV
    Study type

    Labor Force Survey [hh/lfs]

    Series Information

    In January 2012 the Kosovo Agency of Statistics, supported by UKAid DFID, developed the Labour Force Survey using, for the first time, modern CAPI technology.

    The Kosovo Agency of Statistics (KAS) began conducting the Labour Force Survey (LFS) in 2001 and then undertook LFS on an almost annual basis until 2009. In 2011 KAS began planning for the updated Labour Force Survey 2012 which has several important improvements over previous surveys:

    • Improved questionnaire (continuing to follow Eurostat guidelines);
    • New sampling frame (based on the 2011 Census of Kosovo);
    • Year round data collection in which data on the labour force and employment were collected every week of the year from January 2nd 2012 to December 30th 2012;
    • Longitudinal sub-sample in which each household is interviewed four times (once every three months);
    • Computer Aided Personal Interviewing (CAPI) which enables data output to be generated faster than traditional paper and pencil interviews followed by data entry;
    • Interviews in the municipalities of northern Kosovo.
    Abstract

    The main objectives of 2012 LFS are to collect information, mainly on the supply side of the labour market, i.e., information on those who are working or who are actively looking for work. The LFS collects social and economic information for use in the following areas:

    • Macro-economic monitoring: The change in the number of people employed is an indicator of changes in economic activity. It is necessary to track these changes, specifically the types of jobs and the industries in which people work.
    • Human resource development policies: The economy is changing all the time. In order to meet the needs of the changing economy, people need to be vocationally trained. LFS enables the identification of areas of training.
    • Employment policies: For an economy to work at its maximum potential, all those wanting to have work should have jobs. Some people may wish to have full-time jobs and can only find part-time work. Knowing how many of these people there are can enable the Government to design policies that encourage full-employment.
    • Income support and social programmes: For the majority of people, employment income is their main means of support. People not only need jobs but also productive jobs in order to receive reasonable incomes. Government needs to know what levels of income are being earned by different groups of persons.
    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household member age 15-64 years old.

    Version

    Version Description

    v01

    Version Date

    2012

    Scope

    Notes

    The scope of the study includes:

    • data on employment and unemployment;
    • employment status;
    • economic activities;
    • occupations.

    Coverage

    Geographic Coverage

    National coverage

    Geographic Unit

    Cities and settlements

    Producers and sponsors

    Primary investigators
    Name
    Kosovo Agency of Statistics
    Producers
    Name
    World Bank
    Funding Agency/Sponsor
    Name Role
    The Department for International Development Financial Support

    Sampling

    Sampling Procedure

    The 4,800 issued households LFS households for 2012 were selected using a design in which: 600 EAs were selected with the probability of selection proportional to the number of occupied households, stratified by region, ethnicity and urban/rural distributing the 600 EAs to 4 quarters by a simple alternating count randomly selecting 8 households to be interviewed in each EA.

    Kosovo is divided geographically into municipalities, which are further subdivided into settlements. The EAs were defined within the smallest administrative units. The KAS has grouped these municipalities into seven regions.

    Weighting

    In the case of the 2012 LFS the number of EAs selected at the first sampling stage is different each quarter. A nationally-representative sample of 150 EAs was selected for the first quarter. The panel of sample households selected for the first quarter was kept in the sample for the remaining quarters of 2012. Then a new sample of 150 EAs was added each quarter, until a full sample of 600 EAs was enumerated for the fourth quarter. As a result, the second quarter has data from sample households in 300 sample EAs, and the sample for the third quarter has 450 sample EAs. At the second stage a sample of 8 households was selected in each new sample EA, and the same panel of sample households is included in the sample for the next quarter.

    The weights are calculated separately for the LFS sample households each quarter based on the sample enumerated that quarter. Since each quarterly sample is nationally representative, the data for different quarters can be combined to provide a higher level of precision based on the data for multiple quarters, and ultimately for tabulating annual estimates that represent seasonality in the labor force and employment characteristics throughout the year. The weights for the each quarter expand the data to the national level. Therefore when we combine the data for different quarters it is necessary to divide the quarterly weights by the number of quarters that being combined.

    In order for the sample estimates from the 2012 Kosovo LFS to be representative of the population, it is necessary to multiply the data by a sampling weight. The basic weight for each sample household would be equal to the inverse of its probability of selection (calculated by multiplying the probabilities at each sampling stage). A household weight is attached to each sample household record in the data files.

    Data collection

    Dates of Data Collection
    Start End
    2012 2012
    Data Collectors
    Name
    Kosovo Agency of Statistics

    Depositor information

    Depositor
    Name Affiliation
    Poverty - GP World Bank Group

    Data Access

    Citation requirements

    The use of the datasets must be acknowledged using a citation which would include:

    • the identification of the Primary Investigator (including country name)
    • the full title of the survey and its acronym (when available), and the year(s) of implementation
    • the survey reference number
    • the source and date of download (for datasets disseminated online)

    Example:

    Kosovo Agency of Statistics. Kosovo Labour Force Survey (LFS) 2012, Ref. KSV_2012_LFS_v01_M. Dataset downloaded from [URL] on [date].

    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 Affiliation Email
    ECA Team for Statistical Development World Bank ecatsd@worldbank.org
    Kosovo Agency of Statistics infoask@rks-gov.net
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