{"type":"survey","doc_desc":{"title":"TUR_2009_HLFS_v01_M","idno":"DDI_TUR_2009_HLFS_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"World Bank","role":"Documentation of the study"},{"name":"Poverty - GP","abbreviation":"GPVDR","affiliation":"World Bank","role":"Documentation of the study"}],"prod_date":"2015-11-24","version_statement":{"version":"Version 02 (November 2015) \nThe title of the study was changed from Labour Force survey (LFS) to Household Labour Force Survey (HLFS).\n\nVersion 01 (March 2014)"}},"study_desc":{"title_statement":{"idno":"TUR_2009_HLFS_v01_M","title":"Household Labour Force Survey 2009","alt_title":"HLFS 2009"},"authoring_entity":[{"name":"Turkish Statistical Institute","affiliation":""}],"study_info":{"coll_dates":[{"start":"2009","end":"2009","cycle":""}],"nation":[{"name":"Turkiye","abbreviation":"TUR"}],"abstract":"The main objective of the Household Labour Force Survey is to obtain information on the structure of the labour force in the country. This includes information on economic activity, occupation, status in employment and hours worked for employed persons; and information on the duration of unemployment and occupation sought by the unemployed.\n\nRevisions made in 2009 \n\nThe Labour Force Survey questionnaire was re-examined by working together with an expert from ILO. In this study, some questions which were found unsuitable for country situation were dropped, some of them were revised and improvements were made in the wording of some questions in order to draw attention for the reference period expressions. \n\nThe most important revision in 2009 is transition to the \"time-related underemployment\" and \"inadequate employment\" definition instead of the underemployment concept that had been used until 2009. In the Sixteenth International Conference of Labour Statisticians, organized by ILO, the existing definition of underemployment was changed mainly considering the measuring problems and new concepts called as \"time-related underemployment\" and \"inadequate employment\" were introduced in order to measure underemployment more accurately. Together with the new underemployment definitions, related questions and options were revised in the questionnaire accordingly.\n\nSampling addresses have gradually been started to be selected from national address data base since 2009 and, national address data base has been used entirely at sampling since 2011.\n\nIn year 2009, economic activities in labour force survey were double coded by International Classification of Economic Activities in the European Union (NACE) both by Rev 1 and by Rev 2. From 2010 onwards NACE Rev 2 has started to be used. In 2009 micro data set economic activity codes are given by both classifications.\n\nSince 2009, economic activity and occupation codes have been given as 2 digits in micro data CD different from previous years.","geog_coverage":"Geographical area covered: All settlements in Turkey have been covered in sample selection.\n\nUrban areas: Settlements with a population of 20,001 and over are defined as urban.\n\nRural areas: Settlements with a population of  20,000 or less are defined as rural.","analysis_unit":"- Households\n- Individuals","data_kind":"Sample survey data [ssd]","notes":"Demographic characteristics: age, sex, marital status, place\/country of birth, place\/country of previous residence, educational attainment, relationship to household head.\nMain labour related characteristics: employment, unemployment, underemployment, hours of work, wages, informal employment, social security coverage, training received, absence from work.","study_scope":"Demographic characteristics: age, sex, marital status, place\/country of birth, place\/country of previous residence, educational attainment, relationship to household head.\nMain labour related characteristics: employment, unemployment, underemployment, hours of work, wages, informal employment, social security coverage, training received, absence from work."},"distribution_statement":{"contact":[{"name":"ECA Team for Statistical Development","affiliation":"World Bank","email":"ecatsd@worldbank.org","uri":""}],"depositor":[{"name":"Poverty - GP","abbreviation":"GPVDR","affiliation":"World Bank"}]},"series_statement":{"series_name":"Labor Force Survey [hh\/lfs]"},"version_statement":{"version":"v01","version_date":"2009"},"method":{"data_collection":{"sampling_procedure":"2009 Household Labor Force Survey is designed to produce estimations on annually, quarterly (3 months) and monthly basis over 3 months moving average by carrying out the survey at each month in the country. \n\nSample size of the survey is calculated in order to have annual estimations on Nuts1 x urban-rural and Nuts2 level.  \n\nFor the determination of the sample size, two studies were carried out:\n\nIn the first study, the initial selection probabilities, f0, were calculated in parallel with the year of 2004. The number of households was allocated to the Nuts2xurban-rural groups (52) proportionally. Then, in order to achieve the sufficient sample size in each group, the number of households in the urban groups were weighted by 1.5*f0 and in the rural groups by f0. By this weighting, some groups had still under or over sample sizes. These groups were reweighted by f0 or 2*f0. Hence the final sample sizes from the first study were obtained.     \n\nIn the second study, the requirement of Eurostat 577\/98 regulation was taken into account. The instructions in this regulation were applied on the 2007 data set and the sample sizes in each stratum were calculated independently. Following the regulation, firstly, %5 of the working age population was calculated and the corresponding groups belonging to this %5 of the working age population were determined.  The groups were chosen from age, gender and education level groups. Then the sample sizes for each stratum (52) were calculated depending on both the %8 coefficient of variation criteria and the values of unemployment rate, design effect, overlapping factors between quarters and correlation coefficient values in each of the selected age, gender and education level groups. \n\nThe achieved sample sizes from the two studies were examined and the maximum ones in each stratum were chosen as the final sample size of the survey. Annual sample size of 2009 LFS was determined as approximately 168000 households.  Accordingly, the quarterly sample size consists of approximately 42000 households.  \n\nAnnual sample design of LFS allows:\n\n\u2022 Producing quarterly estimations\n\u2022 Measuring variation between consecutive quarters\n\u2022 Cumulating quarterly estimations for annual estimations \n\u2022 Measuring variation between same quarters of the consecutive years \n\u2022 Monthly estimations over 3 month moving average approach.\n\nThe rotation pattern is applied by the use of 8 subsamples in each quarter. Each subsample constitutes 350 clusters. The addresses to be surveyed from each selected cluster are divided into two sets namely A and B. In each quarter, only one of these sets is included in the survey.  Hence the P overlapping ratio between consecutive quarters and same quarters between consecutive years are guaranteed. Number of addresses in each cluster is 15. This value was determined by taken into account the rate of homogeneity value. \n\nHousehold Labour Force Survey Rotation Pattern\n\nAccording to the scheme above, in the first quarter of 2009, 1 of the 8 subsamples comes from the new design (2009), while the others are from the previous design.  In this way, the transition from the old design to the new one is spread over time. In the year 2010, all subsamples come from the new design \n\nThe address frame of 2009 survey is National Address Data Base (UAVT) which is updated regularly and linked with Address Based Population Register System (ADNKS). Each new subsample to be included in the survey is selected from the updated UAVT. Therefore listing study in the field is not needed which was the case of the survey before.\n\nSampling Methodology: Two stage stratified cluster sampling.\n\nFirst stage sampling unit: Blocks, which constitutes approximately 100 household addresses. While forming the sampling frame of the block, updated UAVT is used. Each of villages that don't have municipalities is defined as one block. The blocks are selected by proportional to size. \nSecond stage sampling unit: Addresses. Number of 30 addresses is selected at once. The selection is done systematically then the selected addresses are divided into two sets (A and B). In each quarter, only one of these sets from the same block is included in the survey.\n\nStratification: Nuts2, urban-rural \n\nSampling Error Estimation: Sampling errors related to proportion and total estimates of the survey are calculated based on Taylor Series approximation using SAS module.","coll_mode":"Computer Assisted Personal Interview [capi]","weight":"Results of the household Labour Force Survey have been weighted and published by the most recent population projections. Until year 2009 aforesaid population projections was calculated based on the general population censuses. In 2007 Address Based Population Registration System (ABPRS) was established and there exists some differences in the distribution of population by age, sex and regions in ABPRS compared to the censuses. \nIn this direction, the new population projections were produced using the most recent population data obtained from this new system. In this direction, national and regional population projections were renewed by the results of 2008 ABPRS and also using the results of Turkey Population and Health Survey realized by the Hacettepe University Institute of Population Studies.\n\nNew population projections have started to be used in Household Labour Force Survey results starting from January 2009 onwards and in order to obtain comparability, monthly results for 2005-2008 terms and 2004 annual results were also revised by the new population projections."}},"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\nTurkish Statistical Institute. 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