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2015Sveriges Riksbank Prize · Search, experiments, and climate

Angus Deaton

Citation: For his analysis of consumption, poverty, and welfare.

The key idea

Use micro-level household survey data to measure consumption, poverty, and welfare. Aggregate statistics hide individual variation that matters for policy.

The explanation

Deaton (with John Muellbauer) developed the Almost Ideal Demand System for measuring consumer responses. His work on household surveys, price indices, and poverty measurement reshaped development economics. He has been a vocal critic of large-N regressions in cross-country growth empirics, arguing the data is too noisy.

Why Africa should care

Every African household survey (Kenya KIHBS, Uganda UNHS, South Africa LCS) uses methodology Deaton helped develop. Poverty measurement in Africa — the $2.15/day line, multidimensional poverty — relies on his price-index and welfare-measurement work. His skepticism of cross-country regressions cautions against simple 'aid causes growth' or 'institutions cause growth' headlines.

How to use it

Whenever an aggregate statistic surprises (rapid GDP growth without poverty reduction), drill into the household-survey microdata. Aggregate hides distribution; distribution drives politics.

Canonical works

  • Angus Deaton (1997) "The Analysis of Household Surveys: A Microeconometric Approach to Development Policy" Johns Hopkins University Press
  • Angus Deaton (2013) "The Great Escape: Health, Wealth, and the Origins of Inequality" Princeton University Press
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