SN093

Household Budget Survey (2008)

ISTAT

Version:
1.0

Changelog (Archive version):

1.0 - 2010/10/17
* Data import routines

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Release:
1.0

Changelog (Source release):

1.0 - 2009/11/03
* 1st release

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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 (trend repeated cross-section)

Series Name:
CF - Survey on the consumptions of Italian families

Questionnaire:
1.86 MB
other documentation
Website
Nesstar - metadata

The Household Budget Survey records all residing household expenditures to purchase goods and services to meet their needs; it is the main data source to describe, analyze and explain household spending behaviours.

The survey allows to analyze the evolution of the household expenditure level and composition, according to household socio-demographic characteristics. The survey is conducted through two different technique: a self-filled diary, in which the household records purchases over a seven-day period, and a final face-to-face interview. According to sample design, approximately 28,000 households are interviewed each year.

 

The survey refers to the total cost of the good or service purchased, apart from the moment of consumption or use and the payment instrument (instalments or credit card). In order to compare expenditure levels of households with different socio-economic features and expenditure behaviours, and to provide poverty estimates, imputed expenditures are also considered, such as those for self-consumptions (household self-produced goods from vegetables garden or farms, consumed by the household itself) or the imputed rents for owner-occupied or free of charge houses. The imputed rent is the return household would have if it rented at market prices the house it is living in and it has to be taken into account because the householders have housing service at their disposal.


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:

  • ECONOMICS - consumption/consumer behaviour
  • ECONOMICS - economic conditions and indicators
  • ECONOMICS - income, property and investment/saving
  • Nations: Italy

    Geographical Unit: region

    Analysis Unit: individual, family

    Universe: whole national population

    Sample Procedure: about 28.000 families. Two-stage stratified random sample

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

    Collection Mode: face to face interview, self-administered questionnaire

    Collection Size: UniData supplies: 1 dataset in SPSS format; 1 questionnaire in PDF format; 1 methodological notes and codebook in PDF format (3 file)

    Documentation:

    Methodological Notes and codebook (pdf):
    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. (2008) Household Budget Survey. UniData - Bicocca Data Archive, Milan. Study Number SN093. Data file version 1.0

    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.