Health behaviour convergence: evidence from fractional (long memory) convergence and British microdata.
Journal article
Authors | Apergis, Nicholas |
---|---|
Abstract | This paper uses a fractional methodology to assess convergence in terms of differences in health quality measures, based on six primary criteria, across the English regions. Hence, it uses the English Longitudinal Study of Ageing database and the retrospective interviews from 16,894 participants, aged 50+, with data from three waves–2004/5, 2006/7 and 2008/9, to establish that health quality is characterized by divergences across six health quality criteria. When the overall sample is differentiated through income, education and employment, the evidence favors convergence, indicating that certain socioeconomic factors impose a uniform behavioral attitude of the population toward health quality criteria. |
Keywords | Health Behaviour; Convergence; Fractional convergence; British microdata |
Year | 2017 |
Journal | The Manchester School |
Publisher | Wiley |
ISSN | 1463-6786 |
1467-9957 | |
Digital Object Identifier (DOI) | https://doi.org/10.1111/manc.12185 |
Web address (URL) | http://hdl.handle.net/10545/623317 |
http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
hdl:10545/623317 | |
Publication dates | 05 Mar 2017 |
Publication process dates | |
Deposited | 17 Jan 2019, 19:05 |
Accepted | 01 Jan 2017 |
Contributors | University of Piraeus |
File | File Access Level Open |
File | File Access Level Open |
File | File Access Level Controlled |
https://repository.derby.ac.uk/item/930q4/health-behaviour-convergence-evidence-from-fractional-long-memory-convergence-and-british-microdata
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