Health economics postgraduate personal statement example

Personal statement example

My undergraduate degree convinced me that the most interesting economics happens where markets behave badly, and health care is the clearest example I have studied. Insurance, uncertainty, agency between doctor and patient, and the fact that a treatment's value cannot be read off a price all appear in the same setting. I want to spend a master's year learning the applied methods that turn those features into usable evidence, and I am applying for postgraduate study in health economics to do that properly rather than at the edges of a general economics syllabus.

My strongest preparation came from my third-year dissertation. Using a publicly available household survey, I looked at whether people living further from their nearest GP practice were more likely to report a health need they had not sought help for. I built the distance measure from open postcode data, ran linear probability and logit specifications, and controlled for age, long-standing illness, household income and car access. The association was modest and largely disappeared once I included urban-rural indicators, which taught me more than a clean result would have. I had to write honestly about the fact that people choose where to live, that self-reported unmet need is a noisy outcome, and that my design could not separate travel cost from the characteristics of places with sparse services. Explaining those limits, rather than dressing them up, was the part of the project I am most satisfied with.

Alongside my optional modules in microeconometrics and public economics, I have read around the subject on my own. I worked through parts of Gray and colleagues' Applied Methods of Cost-effectiveness Analysis in Health Care, which gave me a much clearer sense of how quality-adjusted life years are constructed and why the choice of discount rate and time horizon matters so much to a conclusion. Reading about EQ-5D valuation made me realise that health measurement is a set of contestable decisions rather than a technicality, and I would like to understand the debates about distributional weighting and equity in cost-effectiveness rather than treat the threshold as a fixed number.

Outside university, I have spent the past two years helping my grandmother keep on top of appointments, repeat prescriptions and a change of pharmacy after her old one closed. Nothing about that is clinical, but it has sharpened the questions I ask. Her missed follow-up was not caused by any shortage of willingness; it came from a letter arriving after the date, a phone line that queued for forty minutes, and a bus route that runs hourly. Non-price barriers and administrative friction are easy to leave out of a model and hard to ignore in practice.

My part-time job in a bus operator's contact centre has been useful in a way I did not expect. I handle complaints, delay refunds and accessibility queries, and I have learned to explain a rule I did not write to someone who has had a bad morning. It has also given me a practical feel for scheduling, capacity and the difference between a service that exists on paper and one people can actually use. Team netball on Sundays keeps the rest of the week in proportion.

After the master's I would like to work in applied evaluation, whether in a research unit, a public body or a consultancy, and eventually contribute to appraisals of new treatments or service reorganisations. I am realistic about the workload of a quantitative programme and keen to be taught by people who work with real data and its problems.

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