Labour Force Survey Two-Quarter Longitudinal Dataset, April - September, 2015

<P>Abstract copyright UK Data Service and data collection copyright owner.</P><p><b>Background</b><br>
The <i>Labour Force Survey</i> (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the <i>Quarterly Labour Force Survey</i> (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation.<br>
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<b>Longitudinal data</b><br>
The LFS retains each sample household for five consecutive quarters, with a fifth of the sample replaced each quarter. The main survey was designed to produce cross-sectional data, but the data on each individual have now been linked together to provide longitudinal information. The longitudinal data comprise two types of linked datasets, created using the weighting method to adjust for non-response bias. The two-quarter datasets link data from two consecutive waves, while the five-quarter datasets link across a whole year (for example January 2010 to March 2011 inclusive) and contain data from all five waves. A full series of longitudinal data has been produced, going back to winter 1992. Linking together records to create a longitudinal dimension can, for example, provide information on gross flows over time between different labour force categories (employed, unemployed and economically inactive). This will provide detail about people who have moved between the categories. Also, longitudinal information is useful in monitoring the effects of government policies and can be used to follow the subsequent activities and circumstances of people affected by specific policy initiatives, and to compare them with other groups in the population. There are however methodological problems which could distort the data resulting from this longitudinal linking. The ONS continues to research these issues and advises that the presentation of results should be carefully considered, and warnings should be included with outputs where necessary.<br><br><span style="font-weight: bold;">New reweighting policy</span><br>Following the&nbsp;<a href="http://doc.ukdataservice.ac.uk/doc/8343/mrdoc/pdf/biennial_lfs_aps_reweighting_policy.pdf" target="_blank" style="background-color: rgb(255, 255, 255);">new reweighting policy</a>&nbsp;ONS has reviewed the latest population estimates made available during 2019 and have decided not to carry out a 2019 LFS and APS reweighting exercise. Therefore, the next reweighting exercise will take place in 2020. These will incorporate the 2019 Sub-National Population Projection data (published in May 2020) and 2019 Mid-Year Estimates (published in June 2020). It is expected that reweighted Labour Market aggregates and microdata will be published towards the end of 2020/early 2021.<br>
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<b>LFS Documentation</b><br>
The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned. However, volumes are updated periodically by ONS, so users are advised to check the latest documents on the ONS <a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/labourforcesurveyuserguidance" title="Labour Force Survey - User Guidance">Labour Force Survey - User Guidance</a> pages before commencing analysis. <b>This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.</b><br>
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<b> Additional data derived from the QLFS</b><br>
The Archive also holds further QLFS series: End User Licence (EUL) quarterly data; Secure Access datasets; household datasets; quarterly, annual and ad hoc module datasets compiled for Eurostat; and some additional annual Northern Ireland datasets. <br>
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<b>Variables DISEA and LNGLST</b><br>
Dataset A08 (Labour market status of disabled people) which ONS suspended due to an apparent discontinuity between April to June 2017 and July to September 2017 is now available. As a result of this apparent discontinuity and the inconclusive investigations at this stage, comparisons should be made with caution between April to June 2017 and subsequent time periods. However users should note that the estimates are not seasonally adjusted, so some of the change between quarters could be due to seasonality. Further recommendations on historical comparisons of the estimates will be given in November 2018 when ONS are due to publish estimates for July to September 2018. <br>
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An article explaining the quality assurance investigations that have been conducted so far is available on the <a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/analysisofthediscontinuityinthelabourforcesurveydisabilitydataapriltojune2017tojulytoseptember2017" target="_blank">ONS Methodology</a> webpage. For any queries about Dataset A08 please email [e-mail].<br>
</p><p><span style="font-weight: bold;">Occupation data for 2021 and 2022 data files</span><br></p><p>The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023:&nbsp;<a title="Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022" href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022" style="background-color: rgb(255, 255, 255);">Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022</a>.</p><p><span style="font-weight: bold;">2022 Weighting</span></p><p>The population totals used for the latest LFS estimates use projected growth rates from Real Time Information (RTI) data for UK, EU and non-EU populations based on 2021 patterns. The total population used for the LFS therefore does not take into account any changes in migration, birth rates, death rates, and so on since June 2021, and hence levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust.</p><br><div><span style="font-style: italic;">Latest Edition Information</span></div><div>For the fifth edition (October 2020), the data file has been updated due to revisions made to the weighting methodology. Further information is available in the<span style="color: rgb(51, 51, 51); font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 13px; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial; float: none; display: inline !important;"><span style="font-style: normal;">&nbsp;</span><span style="font-style: italic;">Improvements to the Weighting Methodology Used in the Labour Force Survey Longitudinal Datasets&nbsp;</span></span>document which has also been added.</div><br><B>Main Topics</B>:<BR>The two-quarter longitudinal datasets include a subset of the most commonly used variables from the <i>Quarterly Labour Force Survey</i> (QLFS), covering the main areas of the survey.<br>

<P>摘要版权归英国数据服务（UK Data Service）及数据收集版权所有者所有。</P><p><b>背景</b><br>劳动力调查（Labour Force Survey，LFS）是一项独特的信息来源，采用就业、失业及经济不活跃的国际定义，涵盖职业、培训、工作时长及16岁及以上家庭成员的个人特征等广泛相关主题。它被用于为社会、经济及就业政策提供信息支撑。LFS最初于1973年至1983年每两年开展一次；1984年至1991年间改为年度调查，由全年季度调查及春季季度的“补充”调查组成（当时数据按季节收集）；1992年起开始提供季度数据，季度样本量大致相当于此前的年度数据量，此后该调查被称为季度劳动力调查（Quarterly Labour Force Survey，QLFS）。1994年12月起，北爱尔兰的数据收集转为完整的季度周期，以与英国其他地区保持一致，因此QLFS覆盖了整个英国（不过英国数据档案馆还保存了一些额外的北爱尔兰年度LFS数据集）。关于QLFS背景的更多信息可在文档中找到。<br><br><b>纵向数据</b><br>LFS将每个样本家庭连续保留五个季度，每季度替换五分之一的样本。主调查旨在生成横截面数据，但现在已将每个个体的记录关联起来以提供纵向信息。纵向数据包含两种关联数据集，均采用加权方法调整非响应偏差：两季度数据集关联连续两波数据，而五季度数据集关联一整年（例如2010年1月至2011年3月，含首尾）的数据，包含所有五波数据。纵向数据的完整序列可追溯至1992年冬季。通过关联记录构建纵向维度，可提供不同劳动力类别（就业、失业、经济不活跃）之间随时间的总流动情况等信息，从而详细了解在类别间流动的人群。此外，纵向信息有助于监测政府政策的效果，可用于跟踪受特定政策举措影响人群的后续活动及状况，并将其与人口中的其他群体进行比较。然而，纵向关联可能存在导致数据失真的方法论问题。英国国家统计局（ONS）持续研究这些问题，并建议应谨慎考虑结果呈现，必要时在输出中加入警示。<br><br><span style="font-weight: bold;">新的重加权政策</span><br>根据<a href="http://doc.ukdataservice.ac.uk/doc/8343/mrdoc/pdf/biennial_lfs_aps_reweighting_policy.pdf" target="_blank" style="background-color: rgb(255, 255, 255);">新的重加权政策</a>，ONS审查了2019年期间发布的最新人口估计数据，并决定不开展2019年LFS和年度人口调查（Annual Population Survey，APS）重加权工作。因此，下一次重加权工作将于2020年进行，届时将纳入2019年次国家人口预测数据（2020年5月发布）和2019年年中估计数据（2020年6月发布）。预计重加权后的劳动力市场汇总数据和微观数据将于2020年底/2021年初发布。<br><br><b>LFS文档</b><br>档案馆提供的LFS数据集配套文档主要包括各用户指南卷的最新版本及相关年份的问卷。不过，ONS会定期更新这些卷册，因此建议用户在开始分析前，查阅ONS <a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/labourforcesurveyuserguidance" title="Labour Force Survey - User Guidance">劳动力调查用户指南</a>页面上的最新文档。<b>这对于旧版QLFS研究的用户尤为重要，因为用户指南文档中的信息和指导可能随时间发生变化。</b><br><br><b>源自QLFS的额外数据</b><br>档案馆还保存了更多QLFS系列数据：终端用户许可（End User Licence，EUL）季度数据、安全访问数据集、家庭数据集、为欧盟统计局（Eurostat）编制的季度、年度及专项模块数据集，以及一些额外的北爱尔兰年度数据集。<br><br><b>变量DISEA和LNGLST</b><br>因2017年4-6月与2017年7-9月之间存在明显不连续性而被ONS暂停的A08数据集（残疾人劳动力市场状况）现已恢复可用。由于这种明显的不连续性及现阶段调查结果尚无定论，在2017年4-6月与后续时间段之间进行比较时应谨慎。但用户需注意，这些估计值未进行季节性调整，因此季度间的部分变化可能由季节性因素导致。关于估计值历史比较的进一步建议，将在2018年11月ONS发布2018年7-9月估计值时给出。<br><br>有关已开展的质量保证调查的文章可在<a href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/methodologies/analysisofthediscontinuityinthelabourforcesurveydisabilitydataapriltojune2017tojulytoseptember2017" target="_blank">ONS方法论</a>网页上查阅。如对A08数据集有任何疑问，请发送电子邮件至[e-mail]。</p><p><span style="font-weight: bold;">2021年和2022年数据文件的职业数据</span><br></p><p>ONS发现其多项调查中2021年和2022年数据文件的部分职业数据收集存在问题。尽管他们估计总体影响较小，但这将影响部分详细（四位数标准职业分类（Standard Occupational Classification，SOC））职业及其衍生数据的细分准确性。更多信息可参见ONS于2023年7月11日发布的文章：<a title="Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022" href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022" style="background-color: rgb(255, 255, 255);">英国国家统计局劳动力调查中错误编码职业数据的修订：2021年1月至2022年9月</a>。</p><p><span style="font-weight: bold;">2022年加权</span></p><p>最新LFS估计值所用的人口总数，采用了基于2021年模式的英国、欧盟及非欧盟人口实时信息（Real Time Information，RTI）数据的预测增长率。因此，LFS所用的总人口数未考虑2021年6月以来移民、出生率、死亡率等方面的任何变化，因此水平估计值可能低估或高估真实值，使用时需谨慎。不过，比率估计值将保持稳健。</p><br><div><span style="font-style: italic;">最新版本信息</span></div><div>第五版（2020年10月）中，由于加权方法论的修订，数据文件已更新。更多信息可在<span style="color: rgb(51,51,51); font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:13px; font-variant-ligatures: normal; font-variant-caps: normal; font-weight:400; letter-spacing:normal; orphans:2; text-align:start; text-indent:0px; text-transform:none; white-space:normal; widows:2; word-spacing:0px; -webkit-text-stroke-width:0px; background-color:rgb(255,255,255); text-decoration-style:initial; text-decoration-color:initial; float:none; display:inline !important;"><span style="font-style:normal;">&nbsp;</span><span style="font-style:italic;">劳动力调查纵向数据集加权方法论改进</span></span>文档中找到，该文档也已新增。</div><br><B>主要主题</B>:<BR>两季度纵向数据集包含季度劳动力调查（QLFS）中最常用变量的子集，覆盖调查的主要领域。