Wellbeing: Science and Policy: Teaching Dataset, 2023

DOI

Abstract copyright UK Data Service and data collection copyright owner.

This study contains the datasets for the exercises of the textbook: Layard, R. and De Neve, J-E. (2023) 'Wellbeing: Science and Policy', Cambridge: Cambridge University Press. ISBN 9781009298926. The datasets are extracted from SN 6614 Understanding Society: Waves 1-11, 2009-2020 and Harmonised BHPS: Waves 1-18, 1991-2009.  Should any queries arise in regard to these teaching datasets, they should be directed to the authors of the book. These datasets are not maintained by the Institute for Social and Economic Research (ISER), the producer of the main Understanding Society study. 

Main Topics:

Variables include: Age; Life satisfaction reported; Education level; Equivalence scale adjusted HH income; Equivalence scale adjusted HH income (log); Age-squared; Ever diagnosed with mental health condition; Number of health conditions ever diagnosed; Unemployed; Partnered.

No sampling (total universe)

Compilation/Synthesis

Identifier
DOI https://doi.org/10.5255/UKDA-SN-9044-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=c7f34c3cad86b7f5d2dac67f1e88338d6cd0cb0f0e6fa5555f284493786f1dc0
Provenance
Creator Layard, P. R. G., London School of Economics and Political Science, Centre for Labour Economics; De Neve, J., London School of Economics and Political Science (LSE), University of London
Publisher UK Data Service
Publication Year 2023
Funding Reference Economic and Social Research Council
Rights Copyright R. Layard, J. De Neve, and the Economic and Social Research Council.&nbsp;; <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 United Kingdom