Equivalence Scale Analysis
Also known as: Equivalence Scales, Household Equivalence Scale, OECD Equivalence Scale, Adult Equivalent Scale
Equivalence scales convert a household's total income or consumption into a measure of the living standard of its members, adjusting for the fact that larger households need more resources but also share them — there are economies of scale in housing, utilities, and durables, and children typically cost less than adults. Dividing household resources by the scale yields equivalized income, the per-equivalent-adult quantity that makes welfare comparable across households of different size and composition. The theory traces to Deaton and Muellbauer's treatment in Economics and Consumer Behavior (1980), and Buhmann and colleagues' 1988 cross-country study showed that inequality and poverty rankings can be strikingly sensitive to which scale is chosen.
Key highlights
- Makes welfare comparable across households of different size and composition, a prerequisite for any household-based inequality or poverty measure.
- Captures both economies of scale in shared consumption and the lower needs of children, which per-capita and per-household measures ignore.
- Parametric scales reduce the choice to a single transparent elasticity, clarifying sensitivity analysis (Buhmann et al.).
- Behavioral methods (Engel, Rothbarth) ground the scale in observed consumption rather than convention when data permit.
Intuition
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How it works
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When to use it
Use an equivalence scale whenever you compare living standards across households of different size and composition — which is to say in essentially all income inequality and poverty analysis based on household survey data. The scale is what makes a single person's income comparable to a family's, and it must be applied before computing the Gini, FGT poverty measures, or any welfare ranking. For official statistics follow the convention of the relevant body (the modified OECD scale in the EU, the square-root scale in OECD comparative work). For research, report results under more than one scale because inequality and poverty levels — and sometimes rankings — can shift with the elasticity. Use behavioral (Engel or Rothbarth) estimation when you need a data-grounded scale and accept its identifying assumptions; use fixed scales for transparency and comparability.
Strengths & limitations
- Makes welfare comparable across households of different size and composition, a prerequisite for any household-based inequality or poverty measure.
- Captures both economies of scale in shared consumption and the lower needs of children, which per-capita and per-household measures ignore.
- Parametric scales reduce the choice to a single transparent elasticity, clarifying sensitivity analysis (Buhmann et al.).
- Behavioral methods (Engel, Rothbarth) ground the scale in observed consumption rather than convention when data permit.
- The scale is not uniquely identified from demand data alone; behavioral methods rest on strong, testable-only-indirectly identifying assumptions.
- Inequality and poverty levels, and occasionally rankings, are sensitive to the chosen scale, so conclusions can hinge on a convention.
- Fixed scales (OECD, modified OECD) are administrative conventions with no behavioral justification for their specific weights.
- Standard scales ignore that needs vary with more than size and age — region, health, disability, and prices all matter but are usually omitted.
Common pitfalls
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Applications
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Frequently asked
What is the difference between the OECD and modified OECD scales?
Both fixed scales assign weight 1 to the first adult but differ in the weights for others. The old OECD (Oxford) scale gives 0.7 to each additional adult and 0.5 to each child, implying modest economies of scale. The modified OECD scale, now standard in EU income statistics, gives 0.5 to additional adults and 0.3 to children, implying stronger sharing and thus larger equivalent incomes for big households. Because the modified scale discounts extra members more, it generally produces somewhat different poverty and inequality figures, especially for large households.
How do the Engel and Rothbarth methods differ?
Both estimate scales from consumption behavior but use different welfare indicators. The Engel method assumes households with the same food budget share are equally well off and infers the cost of additional members from how food shares respond to size and income. The Rothbarth method instead uses spending on adult-specific (adult-only) goods, holding that spending constant to measure the cost of children. The Engel approach is known to overstate the cost of children — adding a child raises the food share, which Engel misreads as a larger welfare loss — whereas Rothbarth tends to give lower estimates; the true scale is often taken to lie between them.
Why does the choice of equivalence scale matter for inequality and poverty?
Because the scale determines how household income is converted to individual welfare, it reshapes the entire welfare distribution before any inequality or poverty measure is computed. A scale closer to per capita (high elasticity) makes large households look poorer and can raise measured poverty and inequality; a scale with strong economies of scale (low elasticity) does the opposite. Buhmann and colleagues showed that both the level of poverty and inequality and, in some cases, the ranking of countries can change with the elasticity, which is why reporting the scale and conducting sensitivity analysis is essential.
Sources
- 1.Deaton, A., & Muellbauer, J. (1980). Economics and Consumer Behavior. Cambridge: Cambridge University Press.ISBN 9780521296762
- 2.Buhmann, B., Rainwater, L., Schmaus, G., & Smeeding, T. M. (1988). Equivalence scales, well-being, inequality, and poverty: sensitivity estimates across ten countries using the Luxembourg Income Study database. Review of Income and Wealth, 34(2), 115–142.
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Cite this page
ScholarGate. (2026, June 22). Equivalence Scale Analysis. ScholarGate. https://scholargate.app/economics/equivalence-scale-analysis