Creating research-ready data by linking Census data to ASHE

通过将人口普查数据链接到 ASHE 创建研究就绪数据

• 批准号: ES/Z502893/1
• 负责人: John Forth
• 金额: $ 16.69万
• 依托单位: City, University of London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FZ502893%2F1
• 关键词: Creating; research; ready; data; linking

The project will create, assess, document and support use of a research-ready dataset, generated by linking personal data from the Census to employee records from the longitudinal Annual Survey of Hours and Earnings (ASHE). This will provide the research and policy communities with a uniquely powerful longitudinal dataset, which can create new insights into the influence of personal and household characteristics, job characteristics and employers on labour market outcomes.The UK censuses provide a wealth of information on individuals in the population but do not collect data on earnings, limiting their value for labour market research. ASHE is an annual panel survey based on a 1% sample of employee jobs in the UK, collecting detailed and highly-reliable information on employees' earnings and paid hours. However, the survey collects few personal characteristics for the employee (restricted to sex, age and residential location). The project will build on the respective strengths of these datasets to provide the largest longitudinal dataset for research on earnings and hours in the UK.In the ADR-funded Wage and Employment Dynamics Strategic Impact Project (WED), the proposing team partnered with the Office for National Statistics (ONS) to link person records from ASHE to person records from the 2011 Census for England and Wales (CEW11). This has added Census data on personal characteristics to around three-quarters (74%) of the 2011 ASHE records held by employees in England and Wales. The ASHE-CEW11 linked dataset is already enabling researchers in government and academia to explore how factors such as ethnicity, disability, education, country of birth and household circumstances affect individual's wage levels and pay progression. However, the value of the dataset would be significantly enhanced if the link was extended to the most recent census.In the proposed project, we will work with ONS to link person records from the 2021 Census for England and Wales to the longitudinal ASHE, using a new and improved linkage protocol (ONS' Reference Data Management Framework, RDMF). The RDMF will also be used to relink ASHE to the 2011 Census for England and Wales, generating a longitudinal ASHE-Census dataset spanning at least a decade. The linkages between ASHE and Census will be quality assessed and documented. The project will focus on generating research-ready data, supported by a program of training and user support.The resulting longitudinal ASHE-Census dataset will represent a significant improvement in the UK's data infrastructure for labour market research, providing more reliable earnings data, larger samples, and better employer information, than is currently available from existing household surveys. This dataset will support the aims of the program by using Census 2021 to provide fresh insights into the experiences of employees, enabling policymakers to make better-informed decisions.

该项目将创建、评估、记录和支持使用一个研究就绪数据集，该数据集是通过将人口普查中的个人数据与工作时间和收入纵向年度调查（ASHE）中的员工记录联系起来生成的。这将为研究和政策界提供一个独特的强大的纵向数据集，它可以创造新的见解，个人和家庭的特点，工作特点和雇主对劳动力市场的结果的影响，联合王国的人口普查提供了大量的个人在人口中的信息，但不收集收入数据，限制了其对劳动力市场研究的价值。ASHE是一项基于英国1%员工工作样本的年度小组调查，收集有关员工收入和带薪时间的详细和高度可靠的信息。然而，调查收集的雇员个人特征很少（限于性别、年龄和居住地点）。在ADR资助的工资和就业动态战略影响项目（WED）中，提议团队与国家统计局（ONS）合作，将ASHE的个人记录与2011年英格兰和威尔士人口普查（CEW 11）的个人记录联系起来。这使得关于个人特征的人口普查数据增加到英格兰和威尔士雇员持有的2011年ASHE记录的约四分之三（74%）。ASHE-CEW 11关联数据集已经使政府和学术界的研究人员能够探索种族、残疾、教育、出生国和家庭环境等因素如何影响个人的工资水平和薪酬增长。然而，如果将链接扩展到最近的人口普查，数据集的价值将大大提高。在拟议的项目中，我们将与ONS合作，使用新的和改进的链接协议（ONS参考数据管理框架，RDMF）将英格兰和威尔士2021年人口普查的个人记录与纵向ASHE联系起来。RDMF还将用于将ASHE重新链接到英格兰和威尔士的2011年人口普查，生成至少跨越十年的纵向ASHE人口普查数据集。将对ASHE和普查之间的联系进行质量评估和记录。该项目将侧重于生成可用于研究的数据，并辅以培训和用户支持计划。由此产生的ASHE-Census纵向数据集将代表英国劳动力市场研究数据基础设施的重大改进，提供比现有家庭调查更可靠的收入数据、更大的样本和更好的雇主信息。该数据集将通过使用2021年人口普查来支持该计划的目标，以提供对员工体验的新见解，使政策制定者能够做出更明智的决策。