{"type":"survey","doc_desc":{"title":"EST_2004_LFS_v01_M","idno":"DDI_EST_2004_LFS_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"World Bank","role":""}],"prod_date":"2014-01-22","version_statement":{"version":"v01 (January 2014)"}},"study_desc":{"title_statement":{"idno":"EST_2004_LFS_v01_M","title":"Labour Force Survey 2004","alt_title":"LFS 2004"},"authoring_entity":[{"name":"Statistical Office of Estonia","affiliation":""}],"production_statement":{"funding_agencies":[{"name":"Statistical Office of Estonia","abbreviation":"","role":""}]},"series_statement":{"series_name":"Labor Force Survey [hh\/lfs]"},"study_info":{"abstract":"The Estonian Labour Force Survey started in 1997 as an annual survey. Since 2000 the Estonian LFS has been organised as a continuous quarterly survey. The survey covers the whole country. Both private and collective households are surveyed.\n\nEstonia Labour Force Survey provides population estimates for the main labour market characteristics, such as employment, unemployment, inactivity, hours of work, occupation, economic activity and much else, as well as important socio-demographic characteristics, such as sex, age, education, household characteristics and regions of residence. Estonia LFS uses methodology of the International Labour Organisation (ILO), which guarantees the comparability of the data.\n\nThe sample size per quarter is approximately 2,500 households, with a sampling rate of approximately 0.5% of the working age population. The sampling frame is based on the 2000 Population and Housing Census database, comprising all registered persons 15-74 years old.\n\nSince 2001, the Estonian Labour Force Survey questionnaire includes an ad hoc module, the contents of which vary from year to year. The module is compiled in accordance with the relevant EU regulations. The aim of the added module is to gather detailed information about the aspect of life directly relevant to the labour market, which is comparable in all EU Member States. In 2004, the ad hoc module was work organisation and working time arrangements.","coll_dates":[{"start":"2004","end":"2004","cycle":""}],"nation":[{"name":"Estonia","abbreviation":"EST"}],"geog_coverage":"National","universe":"All persons 15-74 years old with permanent residence in Estonia.","data_kind":"Sample survey data [ssd]","notes":"The scope of the study includes:\n- Household characteristics \n- Respondents' demographic characteristics\n- Labour status \n- Main and second jobs\n- Work organization and working time arrangements \n- Underemployment \n- Previous work experience \n- Job seeking.","study_scope":"The scope of the study includes:\n- Household characteristics \n- Respondents' demographic characteristics\n- Labour status \n- Main and second jobs\n- Work organization and working time arrangements \n- Underemployment \n- Previous work experience \n- Job seeking."},"method":{"data_collection":{"data_collectors":[{"name":"Statistical Office of Estonia","abbreviation":"","affiliation":""}],"sampling_procedure":"The sample size per quarter is approximately 2,500 households, with a sampling rate of approximately 0.5% of the working age population.\n\nThe sampling design is a stratified systematic two-phase sampling of individuals, whose households are included in the sample. The 15 counties of Estonia and Tallinn are divided into four strata according to the population numbers (I - Tallinn, II - four bigger counties, III - ten smaller counties, IV - Hiiu county) and different inclusion probabilities are used in strata, the highest being for Hiiu county. The sampling frame is based on the 2000 Population and Housing Census database, comprising all registered persons 15-74 years old.\n\nIn the first phase the sample is selected by systematic sampling inside strata and the information on the size of sampled households is collected. In the second phase the sample is grouped by the number of persons aged 15-74 years in the household of the sampled individual. The final sample is then selected by systematic sampling from each size group with inclusion probability inverse to the size. This yields an equal probability sample of households (and its 15-74 years old members) inside strata. All persons aged 15-74 years in the households of the final sample are interviewed. Every sampled household is interviewed for four quarters according to the rotation pattern 2-(2)-2.","coll_mode":"Face-to-face [f2f]","research_instrument":"The main objective of the Estonian Labour Force Survey is to get data about participation of population of Estonia in the labour market; therefore the main part of the questionnaire includes questions concerning the respondents\u2019 activities in the reference week. The employed persons are asked about economic activity of the main job, occupation, labour status, work relations, place of work, usual and actual working time, about secondary jobs, etc. The unemployed persons are asked about the steps taken to find a job, the duration of job seeking, the characteristics of previous job and a job they are looking for, etc. The persons who do not work and do not look for a job (the inactive persons) are asked about the reason for inactivity, sources of subsistence, etc. \n\nEurostat\u2019s ad hoc modules included in the Estonian Labour Force Survey 2004 is Work organisation and working time arrangements (Section D).","coll_situation":"In 2004, 90% of interviews were face-to-face interviews (paper and pencil) and 10% computer-assisted personal interviews (CAPI). All interviews were conducted by 60 interviewers of the Data Collection Department of the Statistical Office of Estonia. The interviewing is normally done during the week immediately following the reference week but never later than five weeks after the reference week. About 12% of the interviews of persons 15-74 years old were by proxy.\n\nSince 2000 each sampled household is interviewed for four times, during two consecutive quarters and after a two-quarter period it is again interviewed twice in the corresponding quarters of the following year. According to such a 2-2-2 rotation plan every quarter 25% of the households are participating in the survey for the first time. 75% of the sampled households were interviewed already for several times, including 25% in the preceding quarter, other 25% in the preceding quarter and in the same quarter last year, and another 25% of  the households were interviewed in the same quarter last year and in the following quarter last year.","weight":"The weights are formed in a sequence of steps. A weight resulting from the previous step is multiplied by the correction factor calculated at the current step. The correction factors are scaled in such a way that their sample average is unity at each step. As a result, the final weight is a product of the  initial weight and correction factors.\n\nAs stratified sampling is used as the first step of sample formation, first the initial weight that is inversely proportional to the inclusion probability in each stratum is calculated. \n\nFor non-response adjustment the non-response correction factors are computed. The weighting groups of reasonably uniform size of sampled households are formed on the basis of the place of residence of the household according to the non-response rate in the region. Within each group the correction factor is inversely proportional to the overall response rate in the region.\n\nIn the next step the weights are calibrated so that they produce exact population numbers in certain subgroups known from demographic data (including institutional population). For working-age persons the subgroups by sex, age (5-years age groups) and the place of residence (urban\/rural area, 15 counties (NUTS-4 level) and the capital city) are considered. For this purpose the linear consistent weighting method is applied. \n\nFor nonworking age persons the non-calibrated household\u2019s weights are calibrated by sex and 5-years age groups.","cleaning_operations":"Starting with 2000 until the full implementation of CAPI-interviewing in the 4th quarter of 2005 the entry of the data was performed centrally. The co-ordinators of the interviewers' network collected the filled questionnaires from interviewers after every two weeks and sent the paper questionnaires to Statistics Estonia. In case of inconsistencies that appeared during data entering, the interviewer who had made a mistake was contacted and the data were adjusted. After the end of the field work and entering of all data, the Blaise data files were converted into SAS format and more complicated relations, which could not be made in Blaise, were checked. In case of inconsistencies corrections were made again by contacting the interviewer. \n\nSince 2001, the data entry program was improved so that in case of inconsistencies operators had a possibility to add a short comment about the nature of the error to the database as a link to the corresponding question of the questionnaire. The aim of it was to analyze the errors made by interviewers and find out the reasons for that (lack of the interviewer's knowledge, unclear questions, etc.). The co-ordinators of the interviewers' network received the quarterly report of mistakes and dealt with the interviewers whose work quality was low.","method_notes":"The classifications used in the ELFS data processing are the Classification of Estonian Administrative Units and Settlements (EHAK), Statistical Classification of Regional Units of Estonia (EPS) based on the Nomenclature of Territorial Units for Statistics (NUTS), International Standard Codes for the Representation of the Names of Countries (ISO-3166), International Standard Classification of Education (ISCED), Estonian Classification of Economic Activities (EMTAK), International Standard Classification of Occupations (ISCO), the classifications of nationalities and of languages."},"analysis_info":{"response_rate":"The response rate in 2004 was 72.7%."}},"data_access":{"dataset_use":{"cit_req":"The use of the datasets must be acknowledged using a citation which would include:\n- the identification of the Primary Investigator (including country name)\n- the full title of the survey and its acronym (when available), and the year(s) of implementation\n- the survey reference number\n- the source and date of download (for datasets disseminated online).\n\nExample:\n\nStatistical Office of Estonia. Estonia Labour Force Survey (LFS) 2004, Ref. EST_2004_LFS_v01_M. Dataset downloaded from [URL] on [date].","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 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