Alkire-Foster method
E223977
The Alkire-Foster method is a widely used framework for measuring multidimensional poverty by identifying who is poor and in which overlapping deprivations they experience across several dimensions of well-being.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Alkire-Foster method canonical | 5 |
| Alkire-Foster counting approach | 1 |
| Alkire-Foster method of multidimensional poverty measurement | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2001121 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Alkire-Foster method Context triple: [Multidimensional Poverty Index, methodologyBasedOn, Alkire-Foster method]
-
A.
Multidimensional Poverty Index
The Multidimensional Poverty Index is a global measure that assesses poverty by capturing multiple deprivations in health, education, and living standards at the household and individual level.
-
B.
Inequality-adjusted Human Development Index
The Inequality-adjusted Human Development Index is a composite statistic that measures a country's average achievements in health, education, and income while accounting for how unequally these achievements are distributed among its population.
-
C.
OECD Better Life Index
The OECD Better Life Index is an interactive tool that compares countries’ well-being across multiple dimensions such as income, health, education, and life satisfaction to go beyond traditional economic measures like GDP.
-
D.
Human Development Index
The Human Development Index is a composite statistic that measures a country's overall achievement in key dimensions of human development, including health, education, and standard of living.
-
E.
Some Aspects of the Inequality of Incomes in Modern Communities
"Some Aspects of the Inequality of Incomes in Modern Communities" is an influential early 20th-century economic study by Hugh Dalton that analyzes the causes, measurement, and implications of income inequality in industrial societies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Alkire-Foster method Target entity description: The Alkire-Foster method is a widely used framework for measuring multidimensional poverty by identifying who is poor and in which overlapping deprivations they experience across several dimensions of well-being.
-
A.
Multidimensional Poverty Index
The Multidimensional Poverty Index is a global measure that assesses poverty by capturing multiple deprivations in health, education, and living standards at the household and individual level.
-
B.
Inequality-adjusted Human Development Index
The Inequality-adjusted Human Development Index is a composite statistic that measures a country's average achievements in health, education, and income while accounting for how unequally these achievements are distributed among its population.
-
C.
OECD Better Life Index
The OECD Better Life Index is an interactive tool that compares countries’ well-being across multiple dimensions such as income, health, education, and life satisfaction to go beyond traditional economic measures like GDP.
-
D.
Human Development Index
The Human Development Index is a composite statistic that measures a country's overall achievement in key dimensions of human development, including health, education, and standard of living.
-
E.
Some Aspects of the Inequality of Incomes in Modern Communities
"Some Aspects of the Inequality of Incomes in Modern Communities" is an influential early 20th-century economic study by Hugh Dalton that analyzes the causes, measurement, and implications of income inequality in industrial societies.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
methodology in development economics
ⓘ
multidimensional poverty measurement method ⓘ poverty measurement framework ⓘ |
| advantage |
can be decomposed to show contributions of each dimension to overall poverty
ⓘ
captures joint distribution of deprivations ⓘ provides intuitive and policy-relevant measures ⓘ |
| allows |
context-specific weighting structures
ⓘ
flexible choice of dimensions and indicators ⓘ |
| appliedBy |
Oxford Poverty and Human Development Initiative
ⓘ
United Nations Development Programme ⓘ national statistical offices ⓘ |
| appliedFor |
monitoring poverty over time
ⓘ
national multidimensional poverty indices ⓘ targeting and policy design ⓘ |
| appliedIn |
Multidimensional Poverty Index
ⓘ
surface form:
global Multidimensional Poverty Index
|
| basedOn | axiomatic approach to poverty measurement ⓘ |
| characteristic |
allows for censored deprivation counts
ⓘ
identifies overlapping deprivations across multiple dimensions ⓘ is decomposable by dimension ⓘ is decomposable by population subgroup ⓘ satisfies dimensional monotonicity ⓘ uses a dual cutoff identification strategy ⓘ |
| coreIndex | M0 (adjusted headcount ratio) ⓘ |
| developedBy |
James Foster
ⓘ
Sabina Alkire ⓘ |
| dimensionExample |
education
ⓘ
employment ⓘ health ⓘ housing ⓘ living standards ⓘ |
| field |
development economics
ⓘ
poverty analysis ⓘ welfare economics ⓘ |
| influenced | design of official poverty statistics in several countries ⓘ |
| namedAfter |
James Foster
ⓘ
Sabina Alkire ⓘ |
| publicationContext | academic journal articles in economics ⓘ |
| purpose |
aggregation of multidimensional deprivations into poverty indices
ⓘ
identification of the multidimensionally poor ⓘ measurement of multidimensional poverty ⓘ |
| relatedIndex |
M1 (adjusted poverty gap)
ⓘ
M2 (adjusted squared poverty gap) ⓘ |
| relatedTo |
Foster-Greer-Thorbecke poverty measures
ⓘ
capability approach to welfare ⓘ |
| timePeriod | developed in the 2000s ⓘ |
| usesConcept |
adjusted headcount ratio
ⓘ
censored headcount ratio ⓘ deprivation cutoffs for each indicator ⓘ poverty cutoff across dimensions ⓘ weighted deprivation scores ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Alkire-Foster method Description of subject: The Alkire-Foster method is a widely used framework for measuring multidimensional poverty by identifying who is poor and in which overlapping deprivations they experience across several dimensions of well-being.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.