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DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 6704 New Earnings Survey, 1986-2002: Secure Access 670410.5255/UKDA-SN-6704-1 Office for National Statistics <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. Office for National Statistics UK Data Service 25 March 2011 BUSINESSESEMPLOYEESEMPLOYERSWORKERSRATES OF PAYWAGESAGECOLLECTIVE AGREEMENTSHOURS OF WORKFULL-TIME EMPLOYMENTPART-TIME EMPLOYMENTOVERTIMEINDUSTRIESPUBLIC SECTORPRIVATE SECTORFINANCIAL INCENTIVESABSENTEEISMMANUAL WORKERSOCCUPATIONSFREQUENCY OF PAYPENSIONSPROFIT SHARINGTEMPORARY EMPLOYMENTGENDEREMPLOYMENT HISTORYARRANGEMENT OF WORKING TIMEPLACE OF RESIDENCEWORKPLACETRAINEESCOMMUTINGBUSINESS OWNERSHIPEMPLOYMENTSOCIO-ECONOMIC STATUS Income, property and investment/savingLabour and employment Abstract copyright UK Data Service and data collection copyright owner.The New Earnings Survey (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. The NES is designed to represent all categories of employees in businesses of all kinds and sizes. It provides a large amount of information on earnings and hours (including bonuses, overtime, etc) as well as industry information derived from the Inter-Departmental Business Register. It provides no information on personal characteristics of the employee apart from age and gender. Most variables are collected each year, although a few additional questions asked each year may or may not be asked in other years. The earnings, hours of work and other information relate to a specified week in April of each year. The NES sampling frame is mainly supplied by Inland Revenue records. It is based largely on a one per cent sample of employees who are members of Pay-As-You-Earn (PAYE) income tax schemes. The PAYE sample is supplemented by data provided by large employers, using extracts from their payroll systems. A survey form is sent to employers, and completion is compulsory under the Statistics of Trade Act 1947. Some large businesses make automatic submissions direct from their electronic records. Certain categories of employees are not selected: for example the Armed Forces, those employed in Enterprise Zones, private domestic service workers, occupational pensioners, non-salaried directors, those employed oversees, those working for their spouses, and clergymen holding pastoral appointments. The NES was replaced by the Annual Survey of Hours and Earnings (UK Data Archive SN 6689) in 2004. Further information on the NES can be found on the Office for National Statistics' (ONS) <a href="http://www.ons.gov.uk/ons/guide-method/surveys/respondents/business/a-z-of-business-surveys/new-earnings-survey/index.html" title = "New Earnings Survey">New Earnings Survey</a> web page. There are a number of issues and inconsistencies associated with the NES data. Users are advised to read the documentation carefully before using the dataset. For example, ONS advise for safety reasons that only data from 1998 onwards should be used because 1998 was the first year that annual earnings were validated properly and published. Geographical references: postcodes The postcodes available in these data from 1996 are pseudo-anonymised postcodes. The real postcodes are not available due to the potential risk of identification of the observations. However, these replacement postcodes retain the inherent nested characteristics of real postcodes, and will allow researchers to aggregate observations to other geographic units, e.g. wards, super output areas, etc. In the dataset, the variable of the replacement postcode is 'new_PC'. Main Topics: The NES collects the following data for employees in all industries and occupations and for the major national collective agreements:<ul><li>levels, distributions and make-up of earnings</li><li>hours worked</li><li>industry</li><li>occupation</li><li>place of work</li><li>gender </li><li>age</li></ul> Great Britain IndividualsNational Working individuals aged from 16 years residing and working in Great Britain in 1986-2002 NumericBusiness microdata Repeated cross-sectional study Simple random sampleOne per cent sample of individuals from National Insurance records Postal survey The Data Collection is available to users registered with the UK Data Service.Commercial use is not permitted.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.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>.Registered users must be based in the UK when accessing data.The Data Collection must be accessed via a secure connection method in a safe environment approved by the UK Data Service. See <restrctn> https://www.ukdataservice.ac.uk/bounce?type=case-study&id=244 https://www.ukdataservice.ac.uk/bounce?type=case-study&id=3 Cristini, A., Geraci, A. and Muellbauer, J. (2018) 'Sifting through the ASHE: job polarisation and earnings inequality in the UK, 1975-2015' in B. Nolan (ed.), Generating prosperity for working families in affluent countries, Oxford: Oxford University Press. ISBN9780198807056 Sifting through the ASHE: job polarisation and earnings inequality in the UK, 1975-2015 Leidecker, T. (2018) Three essays on the impact of economic change on the labour market, Coventry: University of Warwick [Ph.D. thesis]. Three essays on the impact of economic change on the labour market Aragon, F., Rud, J. and Toews, G. (2018) 'Resource shocks, employment, and gender: evidence from the collapse of the UK coal industry', Labour Economics, 52, pp.54-67, https://doi.org/10.1016/j.labeco.2018.03.007. https://doi.org/10.1016/j.labeco.2018.03.007 https://oai.ukdataservice.ac.uk:8443/oai/provider 6704 2024-11-28T07:28:55Z ddi:codebook:2_5