SN126

Italian Labour Force Survey – Annual file (2013)

ISTAT

Version:
2.0

Changelog (Archive version):

2.0 - 2016-07-04
* data update to the latest release (2.0)

1.0 - 2014-07-03
* Data import routines

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Release:
2.0

Changelog (Source release):

2.0 - 2016-05-26
* new creation of the dataset starting from updated single quarterly data. Now it includes the information on job satisfaction

1.0 - 2014/07/03
* 1st release (annual dataset creation from single quarterly data)

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Availability:
restricted access

UniData provides two kind of data access:

  • open data
    (all users can use the data - an expense allowance could be required)
  • restricted data
    (the data use is limited - see below)

Data Kind:
individual data

Time Dimensions:
longitudinal (panel)

Series Name:
RFL - Labour Force Survey

Questionnaire:
1.08 MB
other documentation
Website
Nesstar - metadata

The Italian Labour Force Survey is the main source of statistical information on the Italian labor market. The information gathered from the population constitutes the basis on which official estimations of employment and unemployment are calculated, as well as information on the main job’s issues – occupation, sector of economic activity, hours worked, contracts’ type and duration, training.

The survey data are used to analyze a number of individual, family and social factors too, such as the increasing labor mobility, changing professions, the growth in female participation, etc.., which determine the difference in labor participation of population.

This database is the result of the union of the four quarterly datasets for the year 2013. In this way it is possible to calculate the annual estimations at the national, macro-regional and regional levels.

In the box to the right  we provide the questionnaire for the first quarter survey, also used in subsequent quarters.

For more information, please refer to the pages of the individual quarterly surveys of 2013:


In order to optimize the time of use of the dataset (exclusively distributed from ISTAT for not member users), UniData offers a service of convertion from ASCII format to the main statistical software format (SPSS, Stata, R or SAS). For detailed information visit the Services for Istat Data page.



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Topic Classification:

  • LABOUR AND EMPLOYMENT - employment
  • LABOUR AND EMPLOYMENT - in-job training
  • LABOUR AND EMPLOYMENT - unemployment
  • LABOUR AND EMPLOYMENT - working conditions
  • Nations: Italy

    Geographical Unit: metropolitan municipality

    Analysis Unit: individual, family

    Universe: whole national population

    Sample Procedure: 66.241 families, 611.255 individuals. Two-stage stratified random sample

    Weight: Weight used. Please read the documentation for any details

    Collection Mode: Computer-Assisted Telephone Interviewing (CATI), Computer-Assisted Personal Interviewing (CAPI)

    Collection Size: UniData supplies: 1 dataset in SPSS format; 1 questionnaire in PDF format (ita); 1 methodological notes in PDF format (ita); 1 codebook in PDF format (ita); 1 PDF file with UniData's archive notes (ita); 1 ZIP file including the documentation from the source (codes for ATECO2007, CP2011, sampling error estimations at the national, macro-regional and regional levels) (6 file)

    Documentation:

    Methodological Notes (pdf):
    Codebook (pdf):
    Data Archive Notes (pdf):
    Documentation (zip):
    DDI Documentation:
    DDI Documentation

    Data Use Restriction:
    Data are available only for members of UniData. Data are released only for scientific purpose. User agrees not to redistribute data to the third party, even in partial form, and to quote the data source in all publications using the information showed later. Other users will need to directly contact Istat.
    Source Contact: Contact Centre

    Citation:
    ISTAT. (2013) Italian Labour Force Survey – Annual file. UniData - Bicocca Data Archive, Milan. Study Number SN126. Data file version 2.0

    Deposit Requirement:
    The user is obliged to quote all data and documents disseminated by UniData and used in the own publications, using the information previously showed. The user is also obliged to send UniData the bibliographic citations related to the publications where the requested data and documents are used.

    Disclaimer:
    Neither the depositor nor UniData bear any responsibility for the analysis or interpretation of the data produced by the user.