Labour economics postgraduate personal statement example

Personal statement example

I finished my economics degree in 2016 with a strong interest in labour markets and very little idea of how they looked from the inside. Eight years of working in a council welfare team has given me that view, and it is the main reason I want to return to formal study. I spend my working days with claimants moving in and out of insecure work: people who turn down extra shifts because of the interaction between earnings and housing costs, people commuting an hour for warehouse work because nothing closer pays as much, parents whose hours are shaped almost entirely by the cost and timing of childcare. I can describe these patterns confidently. What I cannot yet do is measure them properly, and that gap has become frustrating enough to act on.

My undergraduate dissertation looked at regional variation in part-time employment using Labour Force Survey data. It was a competent piece of work with obvious weaknesses: I treated part-time status as a straightforward choice and paid little attention to selection into the sample. Returning to it recently, I could see exactly which questions my supervisor had been nudging me towards. That rereading prompted me to rebuild my technical skills rather than rely on memory. Over the past eighteen months I have completed an evening statistics course at a further education college, worked through Angrist and Pischke's Mastering 'Metrics, and taught myself enough R to redo my dissertation analysis from raw data. Difference-in-differences and instrumental variables were terms I could once define; now I can at least set one up, look at the assumptions honestly and see where mine fail.

The topics I most want to study formally are search and matching, monopsony, and the effects of minimum wages on hours rather than headcount. The last of these comes directly from work. Colleagues often assume a wage floor either costs jobs or does not, whereas the cases I see suggest adjustment happens through rota length, travel expectations and how much unpaid flexibility an employer asks for. Reading around this, including Manning's arguments about employer wage-setting power, changed how I interpret claimants' reluctance to move employer even when a nominally better rate exists nearby. I would like to test that intuition against evidence and methods rather than anecdote.

My job has also taught me things that formal study does not. I handle a caseload with strict deadlines, explain complicated rules to people who are anxious and short of time, and write decisions that have to withstand challenge. Administrative data is something I work with daily, including its inconsistencies, missing fields and definitional quirks, which has made me sceptical in a useful way about tidy datasets. I have trained three new colleagues, which forced me to articulate reasoning I had stopped noticing I was using. Outside work I coach an under-fourteens netball team on Saturdays and volunteer fortnightly at an adult literacy group, both of which involve explaining the same idea several different ways until one lands.

Returning to study as a mature student is a considered decision rather than an escape. I have saved towards it, discussed reduced hours with my manager and arranged cover for the coaching. I expect to find the mathematics demanding after a long gap and have planned for that by starting early with revision of matrix algebra and optimisation. In the longer term I would like to work in applied labour market analysis, either for a research institute or within government, contributing evidence to the employment and benefit policies I currently administer. A master's in labour economics is the step that would make that shift a genuine possibility rather than an ambition I keep describing to colleagues.

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