New Earnings Survey Panel Dataset, 1975-2016: Secure Access

DOI

Abstract copyright UK Data Service and data collection copyright owner.

The New Annual Survey Panel Dataset (NESPD) contains the New Earnings Survey (NES) data (UK Data Archive SN 6704) in panel form. The NES is sampled on individuals whose National Insurance numbers end in a given pair of digits. Since the same pair of terminating digits are used as the basis for each year's sample, a panel is automatically generated within the surveys. The NES is an annual survey of the earnings of employees in Great Britain. Its primary purpose is to obtain information about the levels, distribution and make-up of earnings, and for the collective agreements that cover them. It is designed to represent all categories of employees in businesses of all kinds and sizes. The questionnaire is directed to the employer, who completes it on the basis of payroll records for the employee. The earnings, hours of work and other information relate to a specified week in April of each year. The NESPD is a reduced form of the NES as it is based on a consistent variable sample. Please see the catalogue record for UK Data Archive SN 6704 for a fuller description of the NES. For the seventh edition (July 2017), data for 2016 have been added to the study.

Main Topics:

The NES and the NESPD include the following data for employees in all industries and occupations and for the major national collective agreements:levels, distributions and make-up of earningshours workedindustryoccupationplace of workgender age

Simple random sample

One per cent sample of individuals from National Insurance records

Compilation or synthesis of existing material

Panel version of NES

Identifier
DOI https://doi.org/10.1016/j.jpubeco.2018.05.010
Related Identifier https://doi.org/10.1016/j.labeco.2018.03.007
Related Identifier https://doi.org/10.1177/0950017019841552
Related Identifier https://doi.org/10.1111/bjir.12497
Related Identifier https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/944246/Gender_pay_gap_in_medicine_review.pdf
Related Identifier https://doi.org/10.1111/sjpe.12225
Related Identifier https://doi.org/10.1007/s10797-020-09619-0
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=38f909b3bda8a3972610fb2ee1b8415675ab3384f96a13433c1c7d678ff55ce9
Provenance
Creator Office for National Statistics
Publisher UK Data Service
Publication Year 2011
Funding Reference Office for National Statistics
Rights <a href="https://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/crown-copyright/" target="_blank">© Crown copyright</a>. The use of these data is subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">UK Data Service End User Licence Agreement</a>. Additional restrictions may also apply.; <p>The Data Collection is available to users registered with the UK Data Service.</p><p>Commercial use is not permitted.</p><p>Use of the data requires approval from the data owner or their nominee. Registered users must apply for access via a DEA Research Project Application.</p><p>Registered users must complete the Safe Researcher Training course and gain <a href="https://uksa.statisticsauthority.gov.uk/digitaleconomyact-research-statistics/better-useofdata-for-research-information-for-researchers/" target="_blank">DEA Accredited Researcher Status</a>.</p><p>Registered users must be based in the UK when accessing data.</p><p>The Data Collection must be accessed via a secure connection method in a safe environment approved by the UK Data Service.</p>
OpenAccess true
Representation
Resource Type Numeric
Discipline Economics; History; Humanities; Social and Behavioural Sciences
Spatial Coverage Great Britain