OxfordAQA A Level Economics: Measurement of Macroeconomic Performance — Practice Questions

These are original questions written for Marlbridge, in the style and at the standard of the examination. They are not reproduced past-paper questions — examination boards hold copyright in their own papers. Use these alongside the official past papers available free from your board.

Related: Measurement of Macroeconomic Performance study guide · Measurement of Macroeconomic Performance revision notes

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Section A

1. State the four core objectives of government macroeconomic policy named in this specification, and one additional objective it also names. [3]

2. Define the Gini coefficient and state the scale on which it is measured. [2]

Section B

3. Explain why a government’s economic growth objective and its price stability objective might conflict in the short run. [6]

4. Distinguish between real and nominal GDP, and explain why the distinction matters when comparing economic performance across time. [5]

5. A price index has a base year value of 150, set to 100. Three years later the same basket of goods costs 168. Calculate the index number and interpret what it shows. [4]

6. Match each of the following indicators to the objective it best measures, explaining one pairing in full: real GDP, the consumer price index, the unemployment rate, the balance of payments on current account. [8]

Section C

7. Explain how weighting is used in the construction of an index number, and why a component making up a larger share of what is being measured carries more influence on the overall index value. [4]

8. Evaluate the extent to which the Gini coefficient alone is sufficient for judging whether a government has achieved an equitable distribution of income and wealth. [10]

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Answers

1. The four core objectives are economic growth, price stability, minimising unemployment, and a stable balance of payments on current account [2 — 1 mark for three correct]. One additional objective: balancing the budget, or an equitable distribution of income and wealth, or protecting the environment [1].

2. The Gini coefficient is a summary measure of income or wealth inequality across a population [1], measured on a scale from 0 (perfect equality) to 1 (perfect inequality) [1].

3. Achieving economic growth typically requires rising aggregate demand, driven by increased consumer spending, investment or government spending [1] [1]. If aggregate demand rises faster than the economy’s productive capacity, this creates excess demand in the economy [1], which tends to push prices upward through demand-pull inflation [1]. A government pursuing growth may therefore find that the resulting inflation threatens its price stability objective [1], meaning the two objectives can require conflicting policy responses — for example, an interest rate cut that supports growth would typically fuel exactly the kind of demand-pull pressure that threatens price stability [1].

4. Nominal GDP is total output valued in the prices of the year it was recorded, not adjusted for inflation [1] [1]. Real GDP is total output valued in constant prices, adjusted to remove the effect of inflation [1] [1]. The distinction matters because comparing nominal GDP across years can show an increase driven partly or entirely by rising prices rather than genuine extra output, so only real GDP allows a genuine comparison of economic performance over time [1].

5. Index number = (168 ÷ 150) × 100 [1] = 112 [1]. This shows that prices have risen by 12% relative to the base year [1], since the index moved from 100 to 112 [1].

6. Real GDP best measures economic growth, since it captures the total value of output produced, adjusted for inflation [1]. The consumer price index best measures price stability, tracking the general level of prices over time [1]. The unemployment rate best measures minimising unemployment, showing the proportion of the labour force without work [1]. The balance of payments on current account best measures the stable balance of payments objective, recording the value of a country’s trade and other current transactions with the rest of the world [1]. Full explanation for one pairing, e.g. real GDP and growth: real GDP directly measures the value of goods and services produced in an economy, adjusted for inflation, so a rising real GDP over time is the direct evidence that the economic growth objective is being achieved, whereas a rising nominal GDP alone could simply reflect higher prices rather than genuinely more output [4].

7. A weighting gives each component of a composite index its relative importance within what is being measured [1], so that a component making up a larger share of the total is given a correspondingly larger influence on the overall index value [1]. This matters because without weighting, a small, rarely purchased item and a large, frequently purchased item would count equally, distorting the index away from what the population actually experiences [1]; weighting each component by its actual share of spending (or output, or whatever the index measures) ensures the index reflects real-world significance rather than treating every component as equally important [1].

8. Case that the Gini coefficient is sufficient: it directly measures the degree of income or wealth inequality across the whole population in a single value, making it a far more direct measure of equity than an aggregate output measure such as real GDP, which says nothing about how output is distributed [1] [1]. Its single 0-to-1 scale allows straightforward comparison over time or between countries [1]. Case that it is not sufficient: the Gini coefficient is a single summary statistic that can conceal how inequality is distributed — two economies with the same Gini value could have very different situations, such as inequality concentrated at the very top versus spread more evenly across the middle [1] [1]. It also captures income or wealth inequality specifically, but an “equitable distribution” as a policy objective may also concern access to opportunities such as education and healthcare, which the Gini coefficient does not measure directly [1]. It is a snapshot measure and does not by itself show whether inequality is rising or falling for identifiable reasons a government can act on [1]. It also does not capture absolute living standards or poverty, since a country could combine low measured inequality with widespread poverty, or vice versa [1]. Judgement: the Gini coefficient is the most direct single indicator this specification names for the equitable-distribution objective, but judging whether that objective has genuinely been achieved requires setting it alongside other evidence, such as trends over time and measures of access to opportunity, rather than relying on the coefficient in isolation [1] [1].

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Where marks are usually lost

• Naming only the four core objectives and omitting the additional objectives this specification names.
• Confusing real and nominal data, or not explaining why the distinction matters for comparison over time.
• Miscalculating an index number by dividing the base year value by the later value instead of the reverse.
• Naming an indicator without a full objective-indicator-justification structure.
• Treating the Gini coefficient as a complete measure of equity without acknowledging what it does not capture.