Poverty, Social Exclusion and Stochastic Dominance 2019
DOI: 10.1007/978-981-13-3432-0_7
|View full text |Cite
|
Sign up to set email alerts
|

The Measurement of Multidimensional Poverty

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
280
0
14

Year Published

2019
2019
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 199 publications
(295 citation statements)
references
References 18 publications
1
280
0
14
Order By: Relevance
“…Multidimensional approaches also allow policy‐makers to design more targeted and group‐specific interventions (Statistics South Africa (Stats SA) ). While there are many competing methodologies for measuring poverty in multidimensional terms (see for example, Tsui ; Bourguignon and Chakravarty ; Statistics South Africa (Stats SA) ), the most popular is the Alkire‐Foster (AF) method which is used to produce the multidimensional poverty index (MPI). This method melds the Atkinson's () ‘counting’ approach to multidimensional poverty with the Foster‐Greer‐Thorbecke (FGT) measures that reflect the depth, breadth and severity of multidimensional poverty (Alkire and Foster ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Multidimensional approaches also allow policy‐makers to design more targeted and group‐specific interventions (Statistics South Africa (Stats SA) ). While there are many competing methodologies for measuring poverty in multidimensional terms (see for example, Tsui ; Bourguignon and Chakravarty ; Statistics South Africa (Stats SA) ), the most popular is the Alkire‐Foster (AF) method which is used to produce the multidimensional poverty index (MPI). This method melds the Atkinson's () ‘counting’ approach to multidimensional poverty with the Foster‐Greer‐Thorbecke (FGT) measures that reflect the depth, breadth and severity of multidimensional poverty (Alkire and Foster ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Now, the international community and academia bring poverty thematic research into survival vulnerability and risk-bearing networks of the poor people who encounter future risk shock. In China, the mainstream of poverty measurement methods is to study poverty under current standards (Bourguignon and Chakravarty 2019) [3]. Commonly used indicators include poverty rate, poverty gap, and poverty intensity, and some other indicators, all of which are a kind of static measurement method after the event.…”
Section: Introductionmentioning
confidence: 99%
“…The difference between cardinal and ordinal priority implies that the maps g k for the cardinal attributes are strictly increasing and concave, whereas the maps h ℓ for the ordinal attributes are strictly increasing only. A popular functional form for the cardinal attributes is gk:xkwkxkβ with w k > 0 for each k and 0 < β < 1 (e.g., Bourguignon and Chakravarty, ). If the ordinal attributes are binary (the typical setting of what Atkinson, , refers to as the counting approach), the ordinal part becomes a weighted count.…”
Section: Discussionmentioning
confidence: 99%
“… Tsui () and Bourguignon and Chakravarty () require poverty to be invariant under changes in non‐deprived attributes. In contrast, monotonicity interprets an increase in a non‐deprived attribute as a (possibly small) improvement. …”
mentioning
confidence: 99%
See 1 more Smart Citation