Apologies for cross-posting.
Dear colleagues,
We are happy to announce that we will be presenting two talks at the Economics Seminar
Series in April. We extend a warm welcome to our guest, Tekin Kose from HERU at the
University of Aberdeen, and our newest member of the Economics Division, Rachel Scarfe.
Both will be sharing their research findings in the field of applied economics. We would
be delighted by your presence and support for this event.
Please respond to this invitation by 22 March and indicate whether you will be joining,
including the buffet lunch, to help us plan catering requirements and to choose an
appropriate venue.
When: Wednesday, April 17, 2024 12:00 PM-2:30 PM.
Where: C.2B76
12:00-13:00 – Rachel Scarfe, Economics, University of Stirling, “Long-term trends in
part-time work”
Abstract: In this paper I document new stylised facts about part-time work. First, in many
European countries, including the UK, there has been a substantial increase in the
percentage of men working part-time since the 1990s. At the same time, the female
part-time share has remained stable, or fallen slightly, so that the net effect is a
slight increase in the overall part-time share. There has also been an increase in
part-time work on the extensive margin; fewer people work very low hours and more work
between 20 and 30 hours per week. Second, despite this increase in the quantity of
part-time work, the difference in average hourly pay for part-time and full-time work has
steadily decreased. In this paper I develop a model of the labour market which can
explain both firms’ and workers’ preferences for part- and full-time work. In the
equilibrium of the model, part- and full-time workers undertake different tasks. As a
result, the model can endogenously generate earnings that are non-linear in hours worked
and can explain the patterns seen in the data.
13:00-13:30 – buffet lunch
13:30-14:30 – Tekin Kose, HERU, University of Aberdeen, “Assessing Health and Wellbeing of
Individuals with or without a Fibromyalgia Diagnosis: Evidence from the PACFiND Study”
Abstract: This study aims to explore determinants of health status and wellbeing of
individuals who have and have not received a diagnosis of fibromyalgia. A cross-sectional
survey was conducted with people who had a fibromyalgia diagnosis, who was not diagnosed
but met criteria for fibromyalgia, and who had pain that is not associated with
fibromyalgia. The sample is selected from participants of a previous population survey in
Scotland and responses are collected through a postal questionnaire. EQ[1]5D-5L and
ICECAP-A survey questions are utilized for measurement of health and wellbeing levels of
participants. Generalized linear models and Quantile regressions are used for empirical
analysis. Findings reveal that there are no significant differences in average health
statuses and wellbeing levels of individuals who have a diagnosis of fibromyalgia and who
met the criteria for fibromyalgia without a diagnosis. However, individuals with other
type of pain report higher average health and wellbeing indicators compared to those with
fibromyalgia related diagnosis or symptoms. Participants who are unemployed due to an
illness consistently report lower health and wellbeing. Single report significantly lower
wellbeing. The Glasgow effect is observed in health and wellbeing measures of this sample.
Frequent hospital visits are associated with lower health and wellbeing levels. Regardless
of diagnosis status, individuals with fibromyalgia symptoms display similar health-related
quality of life and wellbeing levels. Having a diagnosis of fibromyalgia would not improve
health and wellbeing of patients. Health services should primarily focus on improving
quality of life for individuals with FM symptoms rather than achieving a quicker
diagnosis.
I look forward to seeing you there.
Seda
Prof Seda Erdem
Joint Head of Economics
Member of Behavioral Science Centre
Stirling Management School
University of Stirling, Stirling, UK
[Title: Email - Description: email-icon]
seda.erdem@stir.ac.uk<mailto:seda.erdem@stir.ac.uk>
[Title: phone - Description: phone-icon] +44 (0) 17 8646 7478
[Title: website - Description: website-icon]
www.sedaerdem.com<http://www.sedaerdem.com/>
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