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Household Labour Force Survey 2009 - Turkiye

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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. Revisions made in 2009 The 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. The 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. Sampling 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. In 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. Since 2009, economic activity and occupation codes have been given as 2 digits in micro data CD different from previous years. Geographic coverage --------------------------- Geographical area covered: All settlements in Turkey have been covered in sample selection. Urban areas: Settlements with a population of 20,001 and over are defined as urban. Rural areas: Settlements with a population of 20,000 or less are defined as rural. Analysis unit --------------------------- - Households - Individuals Kind of data --------------------------- Sample survey data [ssd] 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. Sample size of the survey is calculated in order to have annual estimations on Nuts1 x urban-rural and Nuts2 level. For the determination of the sample size, two studies were carried out: In 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. In 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. The 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. Annual sample design of LFS allows: • Producing quarterly estimations • Measuring variation between consecutive quarters • Cumulating quarterly estimations for annual estimations • Measuring variation between same quarters of the consecutive years • Monthly estimations over 3 month moving average approach. The 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. Household Labour Force Survey Rotation Pattern According 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 The 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. Sampling Methodology: Two stage stratified cluster sampling. First 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. Second 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. Stratification: Nuts2, urban-rural Sampling Error Estimation: Sampling errors related to proportion and total estimates of the survey are calculated based on Taylor Series approximation using SAS module. Mode of data collection --------------------------- Computer Assisted Personal Interview [capi]

摘要 -------------------------------- 家庭劳动力调查的主要目标是获取该国劳动力结构的信息。这包括经济活动、职业、就业状态以及就业人员的工时信息;以及失业持续时间和失业者寻求的职业信息。 2009年的修订 劳动人口调查问卷经与国际劳工组织专家合作重新审视。在本研究中,一些不适合国家情况的题目被删除,其中一些题目被修订,并对一些题目的措辞进行了改进,以便引起对参考期间表达的注意。 2009年最重要的修订是,将“时间相关的低就业”和“不充分就业”的定义从2009年之前使用的低就业概念转变为新的定义。在国际劳工组织(ILO)组织的第十六届国际劳工统计学家会议上,主要考虑到测量问题,并引入了称为“时间相关的低就业”和“不充分就业”的新概念,以便更准确地测量低就业。随着新的低就业定义的引入,问卷中的相关问题及选项也相应进行了修订。 自2009年起,抽样地址开始从国家地址数据库中选择,自2011年起,国家地址数据库已完全用于抽样。 在2009年,劳动力调查中的经济活动按欧盟经济活动国际分类(NACE)的修订1和修订2进行双重编码。从2010年起,开始使用NACE修订2。2009年的微观数据集经济活动代码由两种分类提供。 自2009年起,经济活动和职业代码在微观数据CD上以两位数提供,与以前的年份不同。 地理覆盖范围 -------------------------------- 地理覆盖区域:样本选择中涵盖了土耳其的所有定居点。 城市地区:人口超过20,001的定居点被定义为城市。 农村地区:人口20,000或以下的定居点被定义为农村。 分析单位 -------------------------------- - 家庭 - 个人 数据类型 -------------------------------- 样本调查数据 [ssd] 抽样程序 -------------------------------- 2009年家庭劳动力调查的设计旨在通过在国家的每个月进行调查,以每年、每季度(3个月)和每月3个月移动平均为基础,产生年度、季度(3个月)和月度估计。 调查的样本量是根据 nuts1 x 城乡和 nuts2 层级的年度估计来计算的。 为了确定样本量,进行了两项研究: 在第一项研究中,与2004年并行计算了初始选择概率,f0。将家庭数量按比例分配到 nuts2xurban-rural 组(52)。然后,为了在每组中实现足够的样本量,城市组中的家庭数量被加权为 1.5*f0,农村组为 f0。通过这种加权,一些组仍然存在样本量不足或过剩的情况。这些组通过 f0 或 2*f0 重新加权。因此,第一项研究获得了最终的样本量。 在第二项研究中,考虑了欧洲统计局577/98法规的要求。该法规中的说明应用于2007年数据集,并且独立计算了每个层级的样本量。根据该法规,首先计算了5%的劳动年龄人口,并确定了属于此5%劳动年龄人口的相应组。这些组来自年龄、性别和教育水平组。然后,根据年龄、性别和教育水平组的失业率、设计效应、季度之间的重叠因素和相关性系数值,计算了每个层级的样本量。 从两项研究中获得的样本量进行了审查,并选择了每个层级的最大值作为调查的最终样本量。2009年LFS的年度样本量确定为约168000户。因此,季度样本量约为42000户。 LFS的年度样本设计允许: • 产生季度估计 • 测量连续季度之间的差异 • 将季度估计累积为年度估计 • 测量连续年份相同季度之间的差异 • 通过3个月移动平均方法进行月度估计。 每个季度使用8个子样本应用轮换模式。每个子样本由350个聚类组成。每个选定聚类的调查地址被分为两个集合,即A和B。在每个季度,只包括这些集合中的一个。因此,保证了连续季度和连续年份相同季度之间的P重叠比。每个聚类中的地址数量为15。此值是通过考虑同质性比率确定的。 家庭劳动力调查轮换模式 根据上述方案,2009年第一季度的8个子样本中,有1个来自新的设计(2009年),其余来自旧的设计。这样,从旧设计到新设计的过渡是随着时间的推移而分散的。在2010年,所有子样本都来自新的设计。 2009年调查的地址框架为国家地址数据库(UAVT),该数据库定期更新,并与地址人口登记系统(ADNKS)相连接。每个要纳入调查的新子样本都是从更新的UAVT中选择的。因此,在实地进行名单研究不再是必需的,这在以前的调查中是这种情况。 抽样方法:两阶段分层聚类抽样。 第一阶段抽样单位:街区,约由100个家庭地址组成。在形成街区的抽样框架时,使用更新的UAVT。每个没有市政当局的村庄被定义为一个街区。街区按规模比例选择。 第二阶段抽样单位:地址。一次性选择30个地址。选择是系统性的,然后选定的地址被分为两个集合(A和B)。在每个季度,只包括来自同一街区的这些集合中的一个。 分层:nuts2,城乡 抽样误差估计:根据泰勒级数近似使用SAS模块计算与调查比例和总估计相关的抽样误差。 数据收集方式 -------------------------------- 计算机辅助个人访谈 [capi]
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