Selected Labour Market Data from the BHPS, 1999

DOI

Abstract copyright UK Data Service and data collection copyright owner.

The research project looked at whether jobs that were prone to accidents (and therefore put workers at greater risk of being physically hurt) offered higher wages as compensation. This hypothesis was tested using a wages equation. If economic theory is correct, it would be expected that jobs which are more prone to accident would indeed offer a higher wage.

Main Topics:

The dataset consists of a selection of variables taken from Wave 1 of the British Household Panel Survey (BHPS). Additional variables were derived from these BHPS variables. In addition, three variables created from data from the Winter quarters of the 1993, 1994, 1995, 1996 and 1997 Quarterly Labour Force Surveys (QLFS - see SNs 3221, 3442, 3559, 3718 and 3829) are also included. The aggregated data are contained in .csv format files, 'jobrisk1.csv', 'jobrisk2.csv' and 'jobrisk3.csv', and were used to create the variables 'riskmain', 'riskminm' and 'riskmajm' in the main dataset.

See BHPS Wave 1 documentation on how the sample was selected.

See BHPS Wave 1 documentation

Identifier
DOI https://doi.org/10.5255/UKDA-SN-4189-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=414f6014941ba554aa247a0c5875ee02d0241e5f33d69e972c4a843c0efeb33d
Provenance
Publisher UK Data Service
Publication Year 2000
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> held jointly with Institute for Social and Economic Research; <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p><p>Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.</p>
OpenAccess true
Representation
Resource Type Numeric
Discipline Social Sciences
Spatial Coverage Great Britain