New Zealand Scholarship Economics
What the examination tests
Scholarship Economics is a single subject assessed through unfamiliar economic issues. The exam rewards analysis (using models to trace causes and effects), evaluation (weighing outcomes, assumptions, and magnitudes), and integration (linking micro, macro, and policy ideas). A resource booklet may supply data or context; you must select the relevant model rather than force every model you know.
Core rules and concepts
- Define the market or macro model and state its assumptions.
- Identify the shock or policy, then trace the mechanism step by step: incentive → quantity → price → welfare.
- Use elasticity, time horizon, and marginal analysis to judge magnitude.
- Distinguish efficiency (allocative, productive, dynamic) from equity.
- Evaluate against a counterfactual and a realistic alternative policy.
Worked example
A council caps urban bus fares below the market-clearing fare. In a supply-and-demand diagram, the ceiling creates excess demand: quantity demanded rises along the demand curve, quantity supplied falls along the supply curve. The shortage equals Qd−Qs. Because bus capacity is fixed in the short run, supply is inelastic, so the immediate shortage may be modest; over time, operators cut frequency or quality, making supply more elastic and the shortage larger. The ceiling transfers consumer surplus to riders who obtain seats but creates deadweight loss and non-price rationing (queues, overcrowding). Evaluation: the policy may improve affordability for current riders, but the size of the efficiency loss depends on elasticity and on whether external benefits of public transport (less congestion, lower emissions) are large. A targeted subsidy may preserve service while correcting the externality.
Traps that cost marks
- Describing the diagram instead of explaining the causal mechanism.
- Confusing a movement along a curve with a shift.
- Ignoring short-run versus long-run elasticity.
- Giving a one-sided evaluation with no magnitude, assumptions, or trade-off.
- Failing to integrate the resource data with the model.