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Labour Force Survey 2010 - Liberia

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Abstract --------------------------- Liberia has long mounted a search for concrete and reliable data on the labour market that will serve as a tool for policy formulation and development. The absence of such information has led to a series of misunderstandings about labour market indicators such as employment and unemployment. Consequently, the results of this Labour Force Survey have realized a long-standing desire for reliable data on the labour market that will dispel rumors, misconceptions and misinterpretations of level, size and characteristics of employment, unemployment and other labour market indicators. The data will assist the government, development partners and data users in planning, decision making and developing policies intended to improve the welfare of the labour force. Geographic coverage --------------------------- Urban and rural areas Analysis unit --------------------------- - Household - Individuals Kind of data --------------------------- Sample survey data [ssd] Sampling procedure --------------------------- The sampling frame for the survey consisted of all census enumeration areas (EAs) in Liberia. For each one, the population census of 2008 provided an up-to-date estimate of the number of households it contained. The frame was put in order by county, with separate strata being formed for urban and rural areas in each county. Greater Monrovia was treated as a stratum in its own right, separate from the other EAs in Montserrado. A two-stage sampling process was used to select households for interview. First, the required number of EAs in each stratum was selected with probability proportional to size (PPS). Secondly, in the selected EAs, the required number of households (12) was selected by systematic sampling, using a random start. A total of 526 primary sampling units were selected for the survey and data was collected from 6233 households. Socio-demographic information was collected from about 32,000 household members, and more detailed information on each person’s economic activity was collected from about 25,000 household members aged 5 and over. In an effort to have a larger sample for this survey, and to make government data collection more efficient, fieldwork for this survey was combined with the fieldwork for the Core Welfare Indicators Questionnaire (CWIQ) survey and with another survey module on human rights. As a result, the larger sample allows for estimates to be made down to the county level, which had not been possible on previous surveys such as CWIQ 2007 and DHS 2007. Mode of data collection --------------------------- Face-to-face [f2f] Research instrument --------------------------- The LFS questionnaire went through many stages of revision before a final version was decided. In addition to input from people within Liberia, detailed technical advice on a suitable design was received from specialists in labour statistics at the headquarters of the International Labour Organization in Geneva. Cleaning operations --------------------------- Once the questionnaires had been booked in at LISGIS, they were checked for errors and the appropriate occupation and industry codes were entered onto the questionnaires. The questionnaires were then entered onto the computer, using CSPro data entry screens. After data entry, a detailed programme of editing and data checking was carried out. Duplicate records were checked, and where necessary the correct ID number was inserted. Many specific checks were carried out on the questionnaires to assess their quality. Response rate --------------------------- In total, as many as 24% of all selected households could not be located (or in a few cases refused to cooperate) and in all these cases replacement households were taken.

摘要 --------------------------- 利比里亚长期以来一直在寻求关于劳动力市场的具体且可靠的资料,这些资料将作为政策制定和发展的工具。缺乏此类信息导致了对就业和失业等劳动力市场指标的一系列误解。因此,本次劳动力市场调查的结果实现了长期以来对可靠劳动力市场数据的渴望,这些数据将消除关于就业、失业及其他劳动力市场指标水平、规模和特征的谣言、误解和误释。这些数据将协助政府、发展伙伴和数据用户进行规划、决策制定和制定旨在提高劳动力福利的政策。 地理覆盖范围 --------------------------- 城市和农村地区 分析单元 --------------------------- - 家庭 - 个人 数据类型 --------------------------- 样本调查数据 [ssd] 抽样程序 --------------------------- 调查的抽样框架包括利比里亚所有人口普查区(EA)。对于每个区,2008年的人口普查提供了该区包含的家庭数量的最新估计。框架按县排序,每个县内分别形成城市和农村地区的单独层。大蒙罗维亚作为一个单独的层处理,与蒙罗维亚的其他人口普查区分开。 使用两阶段抽样过程选择访谈家庭。首先,在每个层中选择所需数量的EA,采用与规模成比例的概率(PPS)。其次,在选定的EA中,通过系统抽样,使用随机起始点,选择所需数量的家庭(12个)。总共选择了526个一级抽样单位进行调查,并从6233个家庭中收集数据。从大约32,000名家庭成员中收集了社会经济人口信息,从大约25,000名5岁及以上的家庭成员中收集了关于每个人经济活动的详细信息。 为了扩大此次调查的样本量,并使政府数据收集更加高效,此次调查的实地工作与核心福利指标问卷(CWIQ)调查及另一项关于人权的调查模块相结合。因此,更大的样本量使得估计可以下至县一级,这在以前的调查(如CWIQ 2007和DHS 2007)中是不可能的。 数据收集方式 --------------------------- 面对面 [f2f] 研究工具 --------------------------- 劳动力市场调查问卷经过多次修订,最终确定了一个版本。除了来自利比里亚内部人士的意见外,还从日内瓦国际劳工组织总部劳动统计专家那里获得了关于适宜设计的详细技术建议。 清理操作 --------------------------- 一旦问卷在LISGIS登记,就检查错误,并在问卷上输入适当的职业和行业代码。然后使用CSPro数据输入屏幕将问卷输入计算机。数据输入后,进行了一系列详细的编辑和数据检查。检查了重复记录,并在必要时插入正确的ID号码。对问卷进行了许多具体检查,以评估其质量。 应答率 --------------------------- 总共,多达24%的所有选定家庭无法找到(或在少数情况下拒绝合作),在这些情况下,采取了替代家庭。
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