LVA_2004_LFS_v01_M
Labour Force Survey 2004
Name | Country code |
---|---|
Latvia | LVA |
Labor Force Survey [hh/lfs]
The Latvian LFS was carried out for the first time in November 1995 and until 2001 was conducted twice a year in May and November with interviewers posing questions to persons living in households and aged 15 years and over. Beginning in 2002, the respondents` households are surveyed every week throughout the whole year and questions on economic activity are posed to persons aged from 15 to 74 years.The survey was designed in order to follow the international concepts and definitions and to reach the harmonisation, in terms of concepts and methodology, with the market economy countries.There is no specific national legislation concerning obligation to provide information for the survey. Participation in the survey is voluntary. The whole country is covered. Only private households are surveyed.
The objective of the LFS is to obtain detailed information about the situation on the labour market in Latvia, i.e. activity of the population.The survey is carried out by way of interviewing persons aged 15-74 years who are living within the household (prior to 2001 persons aged 15 years and over). The questionnaires contain relevant questions characterising the activity of the population; these questionnaires were prepared in accordance with the internationally approved methodology of the International Labour Organisation (ILO) specifically in the area of labour force surveys that ensures comparability of information with other countries. The LFS provides information on the number of population including the active population (employed and unemployed) broken down by various characteristics (sex, age, education qualification, place of residence, employment status, etc.).
Sample survey data [ssd]
Households
Individuals
2004
The scope of the Labour Force Survey includes
National
The LFS has two target populations:
Name |
---|
Central Statistical Bureau of Latvia |
Work was started on the development of the new LFS methodology in 2000. The main aims for the new LFS methodology were:
To obtain quarterly estimates;
To organize LFS as continuous survey;
To introduce effective variance estimator.
A new sample design was developed. The list of territories covering all private households of Latvia was formed using the census counting areas of the Population and Housing Census 2000. These territories were used as primary sampling units by the new sampling design. The territories were stratified into four strata - Riga, cities under state jurisdiction, towns and rural territories.
Starting from January 2002 significant changes in the sample design were made for LFS of Latvia- this survey is carried out as a continuous one.
Sample design is two-stage stratified sample. Households are stratified by the degree of urbanisation (Riga, the capital city; 6 other largest cities; towns; rural areas). As a rule census counting areas are used as the primary sampling units in both - urban and rural territories.
The annual household sample is evenly distributed over time (same number of households participate in the survey within each of 52 weeks of the year). The developed sampling procedures guarantee that within each quarter sample of PSUs is evenly distributed over space, too. From one to the next week sampled PSUs are completely rotated. Within each stratum the sample of PSUs can be subdivided into three equally sized sub-samples: one of them contains PSUs included in the sample first time, another contains PSUs included in the sample second time, and the last one contains PSUs included in the sample third time. Altogether within each selected PSU sample of households is taken 3 times with a 26 weeks' time shift. It offers an opportunity to keep each selected household in the sample of the LFS exactly 3 times with 6 months time shift as it is done in the current LFS.
The Population Census 2000 was used as the frame of labour force survey. The frame was updated with information from the Population Register and the statistical register of farms/households.
Size of the sample :Size of the quarterly sample was 2574 households both in 2003 and in 2004.
Design weights were adjusted using response homogeneity group method [4]. Each primary sampling unit (territory) was used as response homogeneity group for dwellings.
Post-stratification was used to achieve the final weights.
Post-stratification was used once for quarterly estimates. Statistic about permanent residents of Latvia at the beginning of the reference year in breakdown by stratum, age group and gender was used as auxiliary information.
Post-stratification was used in three steps for the annual estimates:
Statistic on permanent residents of Latvia at the beginning of the reference year in breakdown by stratum, age group and gender was used as auxiliary information;
Statistic on permanent residents of Latvia at the beginning of the reference year in breakdown by regions was used as auxiliary information;
The same information as in the first step was used.
Data are collected throughout the year with identical questionnaires.
The questionnaire is divided into two parts:
Start |
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2004 |
Name |
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Central Statistical Bureau of Latvia |
Estimation of variance: Jackknife was used for the estimation of variance. The method was implemented using the software SUDAAN.
Name | URL | |
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Central Statistical Bureau of Latvia | http://www.csb.gov.lv/en/dati/chargeable-services-30928.html | info@csb.gov.lv |
Reproduction is permitted, provided Central Statistical Bureau of Latvia is quoted as source
Use of the dataset must be acknowledged using a citation which would include:
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.
Name | Affiliation | URL | |
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Central Statistical Bureau of Latvia | info@csb.gov.lv | http://www.csb.gov.lv | |
Microdata Library | World Bank | microdatalib@worldbank.org |
DDI_LVA_2004_LFS_v01_M_WB
Name | Affiliation | Role |
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Development Economics Data Group | The World Bank | Documentation of the DDI |
2013-10-10
Version 01 (October 2013)