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- Published: 3rd October 2026
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Personal statement example
At the agricultural merchant where I work on Saturdays, we chalk feed prices on a board behind the counter. Over the past three years I have rubbed out and rewritten those numbers more often than I expected, and I have noticed that customers react to them very differently. A large arable farmer will glance at the board and order anyway. A smallholder with forty ewes will ask whether the price might come down next month. That contrast, between businesses that can absorb a price movement and those that must guess at it, is the question I want to study properly at postgraduate level.
My undergraduate degree combined geography and economics, which gave me a grounding in microeconomic theory and econometrics alongside a sense of how land use shapes rural communities. I most enjoyed the second-year econometrics course, partly because it was the first time I had to defend a model rather than simply estimate one. My dissertation asked whether periods of high milk price volatility in England were followed by more dairy herds leaving the sector. I used publicly available government statistics on farmgate milk prices and dairy producer numbers, constructed a rolling measure of volatility and estimated a series of regressions with lagged terms. The relationship I found was modest and sensitive to how I defined the volatility window, and I spent a good part of the write-up explaining why the data could not separate price risk from other pressures such as retirement or the cost of meeting new regulations. My supervisor encouraged me to treat that limitation as a finding in itself, and I came away convinced that I needed farm-level data and stronger methods to answer the question well.
That is why I am applying for a master's in agricultural economics. I want to learn how economists model producer decisions under uncertainty, how policy instruments such as direct payments or environmental schemes change those decisions, and how to work with panel data where individual farms can be followed over time. I am also interested in the trade side of the subject. Denmark and the United Kingdom both export significant quantities of pork and dairy, and I would like to understand how exposure to world markets affects the price risk that individual producers face.
The merchant's counter has taught me things a dataset cannot. I have learnt the difference between a customer buying sheep nuts by the bag and one ordering by the tonne, and why the second often pays less per kilo even when demand is high. I handle account queries, which has shown me how many small farms run on tight monthly cash flow and depend on short-term credit from suppliers. None of this makes me an expert in farm management, but it has made me careful about assumptions that look reasonable on paper and less so in a farmyard.
Outside work and study I play hockey for a local club and help organise the junior training rota, which mostly involves persuading parents to commit to dates. Every Wednesday I cook dinner for my grandmother, who lives alone; it is a routine I value, and it has made me more organised about planning my week around fixed commitments.
I am a steady rather than flashy student. I check my code, I read the methods section before the conclusion, and I am comfortable saying when a result is weaker than I hoped. I would bring that habit, and a practical feel for how agricultural markets work at the counter, to a demanding postgraduate course. In the longer term I would like to work on agricultural policy evaluation, whether in a public body or a research organisation, where careful analysis of how farms respond to prices and payments can inform better decisions.