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Household Budget Survey 2010

Latvia, 2010
Reference ID
LVA_2010_HBS_v01_M
Producer(s)
Central Statistical Bureau of Latvia
Metadata
DDI/XML JSON
Created on
Apr 07, 2014
Last modified
Mar 29, 2019
Page views
21606
Downloads
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  • Study Description
  • Data Dictionary
  • Get Microdata
  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    LVA_2010_HBS_v01_M

    Title

    Household Budget Survey 2010

    Country
    Name Country code
    Latvia LVA
    Study type

    Income/Expenditure/Household Survey

    Series Information

    The first Household Budget Survey in Latvia took place in 1926-1927, the second in 1936-1937. In the post-war period in 1952 Family Budget Survey was started within the system of the former Central Statistical Board of the USSR (later renamed Goskomstat). This survey was based on the so-called "sectoral" sampling principle and was continued also during the first independence years of Latvia till 1995. The new HBS was implemented with the technical assistance of the World Bank in September 1995 according to random sampling principle. This model of the survey lasted for 5 years until 2000. The last redesigned HBS was launched in May 2001. Current HBS is being conducted in compliance with the Eurostat recommendations.

    Abstract

    The Household Budget Survey 2010 provides a source of information for qualitative and quantitative indicators characterising living standards in Latvia. The main purpose of the data collection is to estimate the level and structure of consumption expenditure in the country as a whole as well as by type of locality (NUTS 2 level). The HBS data are used for the calculation of weights for a consumer price index and estimates of the private final consumption expenditure of the household sector in the National Accounts.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Households,
    • Individuals.

    Household is defined as a person or group of persons tied by relationship or other personal relations, having common subsistence expenditures and inhabiting the same living unit (house, flat, etc.), maintenance of which is covered by such persons jointly.

    Version

    Version Description

    Version 01

    Version Date

    2010

    Scope

    Notes

    The scope of the study includes:

    • composition of the household,
    • demographic characteristics of household members,
    • income,
    • housing conditions,
    • financial transfers,
    • durable goods,
    • agricultural production activities,
    • expenditure on goods and services,
    • household consumption.

    Coverage

    Geographic Coverage

    The survey sample covers whole territory of Latvia.

    Universe

    The sample represents private households in Latvia as well as their most typical groups. Collective households are not included in this survey.

    Producers and sponsors

    Primary investigators
    Name
    Central Statistical Bureau of Latvia
    Producers
    Name Role
    World Bank Assistance in survey design and management
    Funding Agency/Sponsor
    Name
    Central Statistical Bureau of Latvia

    Sampling

    Sampling Procedure

    Stratified two-stage random sample was used for the HBS in Latvia. Stratified systematic sampling with inclusion probabilities proportional to unit size was carried out at the first stage and simple random sampling was carried out at the second stage. The annual address sample is evenly distributed over time (the same number of addresses is sampled within each of the 52 weeks of the year) and space.

    Two sampling frames are built for each sampling stage. At the first stage the counting areas of the Population and Housing Census are used as sampling frame. The list contains information on the number of addresses in each counting area. At the second stage the sampling frame is built from the statistical register of dwellings. The sampling frame provides information about resident population of the Republic of Latvia legally registered at the dwelling as well as its gender and age. Sampling frame is made on a quarterly basis.

    Response Rate

    Overall response rate for HBS 2010 comprised 43.1%

    Weighting

    The design weights are inversely proportional to the inclusion probability. The households are selected by a two-stage stratified random sampling procedure. Primary sampling units (PSU) are Population Census enumeration areas and are selected with probabilities proportional to the size. In second stage households within each PSU are selected with simple random sampling procedure.

    For each stratum the household inclusion probability in the primary sampling unit is calculated by multiplying the probability of selection in each sampling stage.

    Survey instrument

    Questionnaires

    Following types of principal survey forms and diaries have been developed for the collection of data:

    • Household Questionnaire
    • Household Diary
    • Pocket Individual Diary

    Data collection

    Dates of Data Collection
    Start End
    2010 2010
    Data Collection Notes

    Interviews are conducted by the Central Statistical Bureau (henceforth CSB) Interview's Coordination Section interviewers. Sampling list with addresses, at which interviews will be conducted, are received from the Mathematical Support Division. For each address the week is specified during which the visit should be made.
    Method used to collect data within the framework of the Household Budget Survey is face-to-face interview in household with the person who has agreed to take part in the survey as well as to keep regular records in the consumption expenditure Diary. Data collection mode is PAPI.

    Before the first contact the CSB sends household an informative letter and leaflet explaining the aim of the survey, procedure for drawing a sample, guarantee of provided data confidentiality, as well as containing request to participate in the survey.

    Data processing

    Data Editing

    Data processing is started with entering the Questionnaire and Diary data in computer. It is performed with the help of two data entry applications in ACCESS environment. Simultaneously with data entry the consumption expenditure data are coded according to COICOP/HBS at 8-digit level (for several groups at 9-digit level). This software allows systematic update of the consumption expenditure code dictionary with new types of goods and services or even their synonyms. Entry of Household questionnaire and Diary data is performed by the personnel specialising in entry of the particular information.
    Data verification methods at source data level are following:

    1. Arithmetical correlations;
    2. Logical correlations;
    3. Verification of coherence between various sections of the questionnaire.

    Along with the data entry simple data checking procedures are performed.
    During the data entry following verifications were performed: coherence among household member demographic characterisation variables, coherence among household member socio-economic characterisation variables (education, employment etc.), and coherence among elements characterising housing conditions. In the income part the verification of the income component minimum and maximum values was made.
    During the Diary data entry price intervals were controlled (minimum and maximum thresholds). This control is made with the help of data on sum paid for the goods purchased. In the ACCESS data entry programme code dictionary each good or service approximate minimum and maximum possible values in LVL are specified. Data entry operator verifies whether Diary record indicating the purchase value and amount meets the specified average price range.

    When data are entered, verification of the sub-sections is carried out. Correlations in the mutually related sections of the Household Questionnaire and Household Diary are verified:

    1. between utilities payments and housing characterisation;
    2. among purchase of durable goods recorded in the Diary and analogous records on purchase of these goods during the last 12 months in tables 8 and 9 of the Questionnaire;

    All discrepancies discovered are recorded in the error protocol.

    Verification of errors
    When entry of the data is completed, further data verification procedures are continued in the ACCESS software:

    • Compliance of entered Questionnaire data and households included in the sample list.
    • Compliance between income, education and labour status.
    • Compliance between respondent age, socio-economic status and income.
    • Correlations between household demographic composition and State social transfers received.
    • Repeated verification of the price intervals.

    In the following stage initial ACCESS file is converted into SPSS format file.

    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:

    Central Statistical Bureau of Latvia. Latvia Household Budget Survey (HBS) 2010, Ref. LVA_2010_HBS_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 Email
    Central Statistical Bureau of Latvia info@csb.gov.lv

    Metadata production

    DDI Document ID

    DDI_LVA_2010_HBS_v01_M_WB

    Producers
    Name Affiliation Role
    Development Data Group World Bank Documentation of the study
    Poverty Reduction & Economic Management Sector Unit World Bank Documentation of the study
    Date of Metadata Production

    2014-02-04

    Metadata version

    DDI Document version

    Version 01 (February 2014)

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