What is the seminar series for?
The NIHR Economics Group seminar series aims to showcase the breadth and quality of economics research being conducted across NIHR funded work. We hope that this will help to foster knowledge sharing and collaboration across the NIHR Economics Group sub-groups as well as across institutions.
Seminars will be hosted quarterly on Zoom and will follow the format of a 30-40 minute presentation followed by 10 minutes of comment from a discussant and 10-20 minutes of audience Q&A.
Who can present at our seminars?
We are particularly interested in providing early career researchers with the opportunity to showcase their work, but welcome expression of interest from all career stages. Submission of research in progress is welcome and encouraged. All research presented must be NIHR funded.
If you are interested in presenting your work at an upcoming seminar or would like to be considered for a discussant role, please fill out the expression of interest form for speaker here and for discussant here.
Upcoming seminars
Title: The causal impact of health on employment and earnings: a partial identification approach with imperfect instruments
Taking place: Wednesday 22 July from 13.00-14.00
Presenter: Dr Akbar Ullah, University of Manchester
Dr. Akbar is an economist specialising in applied health and labour economics. He is a Research Fellow in Health Economics at the Health Organisation, Policy, and Economics (HOPE) group at the University of Manchester, and a member of the Applied Research Collaboration Greater Manchester (ARC-GM).
Synopsis:
In observational studies, estimates of the impact of health on labour market outcomes often risk bias due to omitted variables, measurement errors, and reverse causality.
Using data from the UK Household Longitudinal Study, this paper applies a nonparametric partial identification approach to bound the causal effects of health on employment and monthly labour earnings.
Point estimates show that having one health condition reduces the probability of employment by 0–7.5 percentage points and two conditions by 1.6–7.9 percentage points. For earnings, one condition reduces monthly earnings by £0–£1,494 and two conditions by £189–£1,524. Based on 95% confidence bounds, having two or three health conditions, relative to none, statistically rules out null effects on both employment and earnings.
Using biomarkers as an alternative, less error-prone measure of health, one abnormal blood test reduces the probability of employment by 0.8–3.5 percentage points and monthly earnings by £430–£1,808, while two abnormal tests reduce employment by 2.7–5.5 percentage points and earnings by £1,919–£3,529. The 95% confidence bounds rule out null effects for one and two abnormal tests for employment, but only for two abnormal tests for earnings.
Disease-specific results are also provided for several non-communicable conditions.
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