What makes an economics case study different
Most case study advice transfers across subjects. Not this one. Economics markers hold your writing to a different standard because the discipline has its own grammar: observable variables, stated models, and reasoning that survives a change in one assumption at a time. A business paper can say "demand was weak"; an economics paper has to say weak relative to what, measured how, over which period.
That doesn't mean more maths than your course requires. It means every number you quote carries three pieces of metadata — units, source and period — and every causal claim names its mechanism. "Sales fell after the tax" is a story. "Sales fell after the tax, consistent with the price elasticity estimate in Tip 3, though the case cannot rule out a concurrent demand shock" is economics. The second version sounds hedged because it is: economists hedge precisely, not vaguely.
The ten tips below are ordered the way you'd actually write: frame first, data second, model third, decision last. Skip around if you like, but the diagnostic near the end assumes you've skimmed all ten.
First, score your draft in five questions
Answer honestly — the ring only helps if you pick what's true, not what's flattering. Each answer scores 0, 1 or 2 points; the maximum is 10.
1. Your opening paragraph names…
2. The numbers in your draft carry units, source and period…
3. When you use a model or diagram, you…
4. Your alternatives section…
5. Your conclusion…
Answer all five to see your score ring.
The ten tips
Each tip is short on purpose. The skill is applying it to your case, not memorising the wording.
Open with the economic question, not the company story
Turn the brief into a question a variable can answer: "Should the firm raise prices, and what does the data say demand can bear?" Everything after sentence one serves that question.
Translate claims into observable variables
"Strong brand" becomes repeat purchase share; "cost pressure" becomes input cost per unit. If you can't name the variable, soften the claim or find the data.
Treat elasticities as magnitudes, not adjectives
Say what the number implies for revenue or quantity, not just "elastic" or "inelastic". If the case gives no estimate, you may show the arithmetic on clearly labelled illustrative numbers — for example, a 10% price rise paired with a 6% fall in quantity gives an elasticity of about −0.6, and a revenue gain — but label it as illustration.
Name the model and its limits in the same breath
Perfect competition, monopoly, a simple supply–demand diagram — whichever you use, one sentence on what it assumes and one on where the case breaks that assumption. That pair of sentences is what separates analysis from decoration.
Keep shifts and movements straight
A change in price moves you along a curve; a change in income, tastes or input costs shifts the curve. Markers spot the mix-up instantly, and it usually cascades into a wrong conclusion.
Give every figure its metadata
Units, source (even if it's "the case, Exhibit 2") and period. A revenue number without a year is unusable for comparison, and the grader will say so in the margin.
Compare two scenarios, not one
Even a modest comparison — raise prices versus hold them, exit versus restructure — forces criteria into the open. State the criteria before the verdict, so the choice looks reasoned rather than preferred.
Separate the short run from the long run
Elasticities, fixed costs and entry all look different across horizons. If your conclusion changes with the time frame, say so explicitly — that sentence earns respect.
Reference like an economist
Textbook for the model, the case pack for facts, and any external data you brought in. Keep the citation style your brief names — our APA citation generator and Harvard referencing generator both handle tables and reports.
End with a decision, hedged honestly
"Recommend X, conditional on Y holding; if Z instead, revisit" is a strong close. It shows you know economics is conditional reasoning, not fortune-telling.
Reading data like an economist (worked comparison)
Tip 6 deserves a demonstration. Suppose the case states, in its own words, "monthly sales fell after the price increase in March". Both interpretations below are technically true; only one is marked well.
"After the price increase in March, sales fell, showing that customers did not accept the new prices. The company should therefore reduce prices to win customers back."
No quantities, no period length, no competing explanation, and a recommendation that ignores the possibility the price rise still raised revenue. An economist would mark this "assertion".
"Monthly unit sales fell 6% in the two months after the March price rise of 10% (case, Exhibit 2 — figures as reported). At those illustrative magnitudes the implied elasticity is roughly −0.6, so revenue would have risen despite the volume dip. The fall is consistent with inelastic demand, but the case gives no control for seasonality, so the quantity effect cannot be attributed to price alone. Recommendation, revised: hold the price through one more quarter and re-examine volumes before reversing."
Notice what the second version added: metadata on the figures, a labelled illustrative calculation, a rival explanation, and a recommendation that follows from the numbers instead of fighting them. That's the whole craft in one paragraph.
Respect the model's limits — and say them
Every model in a case study is a simplification you chose, so you own its blind spots. A supply–demand diagram says nothing about negotiation power. A perfectly competitive frame fits few real industries. Porter's forces describe pressure, not magnitude. Writing one honest sentence per model — "this frame assumes away fixed costs, which matter here because…" — does two jobs: it protects you if the marker dislikes the model, and it shows you chose it deliberately.
The habit extends to your own calculations. If you assume a cost structure to compare scenarios, list the assumptions in a short table and flag which one your conclusion is most sensitive to. If a single assumption flips the answer, that's worth a sentence in the conclusion, not a footnote nobody reads.
Six checks before you submit
Run the list against the final draft, not the outline. The bar fills as you tick; finish all six for a small burst.
- Opening states an economic question with a decision attached
- Every quoted figure has units, source and period
- Each model or diagram is explained, applied and limited
- Two scenarios compared against criteria named in advance
- Illustrative calculations are labelled as such
- Conclusion is a conditional recommendation, not a summary
Copy the decision-first outline
This skeleton matches the tips one to one. Fill it in, then compress or expand sections to fit your word count.
ECONOMICS CASE STUDY — DECISION-FIRST OUTLINE 1. The economic question + why it matters for this firm (Tip 1) 2. Evidence base: variables, units, sources, periods (Tips 2 and 6) 3. Key magnitudes: elasticities or ratios, labelled illustrative if assumed (Tip 3) 4. Model: chosen frame, what it assumes, where the case strains it (Tips 4 and 5) 5. Short run vs long run: what changes with the horizon (Tip 8) 6. Scenario comparison: two options against named criteria (Tip 7) 7. Recommendation: conditional decision + revisit trigger (Tip 10) 8. References: model sources, case pack, external data (Tip 9)
The deadline is closer than the data
If the draft is due before the analysis is done, a quoted, deadline-bound writer can pick up the case pack and deliver a structured paper with the evidence handled the way this guide describes.
Frequently asked questions
How much maths does an economics case study need?
As much as the brief and the case data support — often none beyond percentages and one elasticity or ratio. Markers reward correct, well-labelled arithmetic over decorative formulas. If the case gives no numbers, your analysis shifts to mechanisms and models, stated carefully.
Can I use real-world data alongside the case?
Usually yes, and it often strengthens the paper, but check the brief first. Any external figure needs a source and a date, and it must be consistent with the case's world — quoting a different country's market size to explain the case firm's costs invites trouble.
What if the case gives no elasticity estimate?
Then reason in ranges and label assumptions. You can present a small illustrative calculation — "if a 10% rise cut quantity by 6%, elasticity would be about −0.6" — as long as it's clearly flagged as illustration, and then discuss what higher or lower values would imply for the decision.
Should I draw supply and demand diagrams?
If your course expects diagrams, include one or two that actually carry the argument — labelled axes, the shift or movement marked, and a caption sentence in the text tying the picture to the case. A diagram never referenced in prose earns nothing.
How do I conclude without overclaiming?
Use conditional language: recommend the action your analysis supports, name the condition it depends on, and state what evidence would make you revisit. This is the economist's habit of hedging precisely — it reads as strength, not weakness.
Did the ten tips earn a bookmark?