Composite Economic Indicators (Cambridge (CIE) A Level Economics): Revision Note

Exam code: 9708

Steve Vorster

Written by: Steve Vorster

Reviewed by: Lisa Eades

Updated on

The Human Development Index (HDI)

  • The HDI is defined as a composite index published annually by the United Nations Development Programme (UNDP), measuring average achievement across three dimensions of human development

World map showing Human Development Index by country, colour-coded from purple (0.3) to red (1.0), reflecting varying levels of development.
World HDI values

The three dimensions and their indicators

Dimension

Indicator

Health

  • Life expectancy at birth

Education

  • Mean years of schooling + expected years of schooling

Standard of living

  • GNI per capita (PPP-adjusted)

  • Each dimension is scored between 0 and 1; the HDI is the geometric mean of the three dimension scores

  • Countries are classified as very high, high, medium or low human development based on their HDI score

    • A value of < 0.550 is considered low development

      • E.g. Senegal was at 0.514 in 2021

    • A value of 0.550-0.699 is considered medium development

      • E.g.Bangladesh was at 0.667 in 2021

    • A value of 0.700-0.799 is considered high development

      • E.g Thailand was at 0.777 in 2021

    • A value ≥ 0.800 is considered very high development

      • E.g. Austria was at 0.918 in 2021

Evaluating the HDI

  • Advantage over GNI alone

    • Two countries with identical GNI per capita can have very different HDI scores depending on how income is translated into health and education outcomes

    • Cuba and Qatar are classic examples of this divergence

  • Limitations

    • Does not capture inequality within countries

      • A high HDI can coexist with extreme income concentration

    • Does not include political freedom, environmental sustainability or gender equality

    • Education and health indicators measure quantity, not quality

Measure of economic welfare (MEW)

  • The MEW is defined as an adjusted measure of GDP developed by economists Nordhaus and Tobin in 1972, which attempts to correct GDP to better reflect actual economic welfare

  • MEW adjusts GDP in two directions:

Adjustment

Direction

Examples

Add welfare-enhancing activities excluded from GDP

  • Upward

  • Value of leisure time, unpaid domestic work, subsistence output

Deduct welfare-reducing activities included in GDP

  • Downward

  • Costs of pollution, urban congestion, crime, military spending

  • The rationale is that GDP counts all output equally regardless of whether it improves welfare - MEW attempts to strip out the output that does not, and add back the welfare that GDP misses

Limitations

  • Extremely difficult to measure in practice — assigning monetary values to leisure time and environmental damage is inherently subjective

  • Not produced regularly for most countries, limiting its use for international or time-series comparisons

  • Methodological choices about what to add and deduct are contested

Multidimensional poverty index (MPI)

  • The MPI is defined as a composite index developed by the Oxford Poverty and Human Development Initiative (OPHI) and the UNDP, measuring acute poverty across three dimensions using ten indicators

The three dimensions and their indicators

Dimension

Indicators

Health

  • Nutrition

  • Child mortality

Education

  • Years of schooling

  • School attendance

Living standards

  • Cooking fuel

  • Sanitation

  • Drinking water

  • Electricity

  • Housing

  • Assets

  • A household is classified as multidimensionally poor if it is deprived in at least one third of the weighted indicators

  • The MPI score = headcount ratio (proportion of population that is poor) × intensity (average share of deprivations experienced by poor households)

Evaluating the MPI

  • Advantage over income poverty measures

    • The MPI identifies which specific deprivations people experience simultaneously, allowing more targeted policy responses than a simple income threshold

  • Limitations:

    • Does not include income as an indicator - due to data constraints rather than conceptual exclusion

    • Data relies on household surveys, which are infrequent in many low-income countries, reducing timeliness

    • Thresholds and weights are partly arbitrary - small changes can alter a country's classification

Comparison of composite indicators

HDI

MEW

MPI

Published by

  • UNDP

  • Not regularly published

  • UNDP / OPHI

Focus

  • Human development broadly

  • Welfare-adjusted GDP

  • Acute poverty

Best suited to

  • Comparing development levels across countries

  • Critiquing GDP as a welfare measure

  • Identifying and targeting poverty

Key limitation

  • Ignores inequality and environment

  • Hard to measure consistently

  • Excludes income; data gaps

Worked Example

What is not included as a weighted indicator of poverty in the Multidimensional Poverty Index (MPI)?

A

cooking fuel

B

electricity

C

medication

D

water

Answer: C

The MPI measures acute poverty across three dimensions - health, education and living standards - using ten weighted indicators

  • Under living standards, the MPI includes: cooking fuel, electricity, drinking water, sanitation, housing quality and assets - so options A, B and D are all genuine MPI indicators

  • Medication is not one of the ten MPI indicators - the health dimension covers nutrition and child mortality, not access to medication specifically

Worked solution

  • Options A, B and D are distractors that test whether students know the actual composition of the MPI rather than guessing what "sounds like" a poverty indicator

  • The key distinction: the MPI health dimension measures outcomes (mortality, nutrition) not inputs (medication, healthcare access) — this is precisely why medication is excluded despite seeming intuitively relevant

Examiner Tips and Tricks

The key distinction examiners test is why composite indicators are superior to single indicators - always argue that they capture multiple dimensions simultaneously, meaning a country cannot mask poor health or education behind high income.

The strongest evaluation point across all three is that even composite indicators have blind spots: HDI ignores inequality, MEW cannot be measured consistently, and MPI excludes income entirely.

In essays, naming the specific limitation of the indicator in question will always score higher than generic criticism.

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Steve Vorster

Author: Steve Vorster

Expertise: Economics & Business Subject Lead

Steve has taught A Level, GCSE, IGCSE Business and Economics - as well as IBDP Economics and Business Management. He is an IBDP Examiner and IGCSE textbook author. His students regularly achieve 90-100% in their final exams. Steve has been the Assistant Head of Sixth Form for a school in Devon, and Head of Economics at the world's largest International school in Singapore. He loves to create resources which speed up student learning and are easily accessible by all.

Lisa Eades

Reviewer: Lisa Eades

Expertise: Business Content Creator

Lisa has taught A Level, GCSE, BTEC and IBDP Business for over 20 years and is a senior Examiner for Edexcel. Lisa has been a successful Head of Department in Kent and has offered private Business tuition to students across the UK. Lisa loves to create imaginative and accessible resources which engage learners and build their passion for the subject.