Reconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data
Multidimensional poverty measures can in theory make well-being comparisons that are less biased than those solely based on monetary poverty. However, global multidimensional poverty measures suffer in practice from limitations that have led to credible criticisms. This paper presents the case for multidimensional poverty measures, two criticisms against their current implementations, as well as recently proposed solutions to improve on these criticisms. The paper develops a method for implementing these solutions in practice. The resulting well-being indicator is used to compare well-being across Nigerian states in 2019. This empirical illustration suggests that these solutions may substantially affect well-being comparisons. The paper also quantifies the potential bias inherent to comparing well-being solely based on monetary poverty. The results find substantially different well-being comparisons between the proposed well-being indicator and monetary poverty even though monetary poverty was (i) high in Nigeria in 2019 and (ii) very heterogeneously distributed across Nigerian states; and (iii) is integrated as one component of the proposed well-being indicator. The paper aims to improve global multidimensional poverty measures by making them more consistent with preference theory and by incorporating the direct impact of mortality, which deprives individuals of the most important functioning.
| Main Authors: | , |
|---|---|
| Format: | Working Paper biblioteca |
| Language: | English English |
| Published: |
Washington, DC: World Bank
2023-10-03
|
| Subjects: | MULTIDIMENSIONAL POVERTY MEASUREMENT, WELL-BEING INDICATOR, MONITARY POVERTY MEASUREMENT BIAS, MORTALITY IMPACT MEASUREMENT, |
| Online Access: | http://documents.worldbank.org/curated/en/099345010022340305/IDU0894308b506a1704cd6091f10302ac764ccdb https://openknowledge.worldbank.org/handle/10986/40424 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
dig-okr-1098640424 |
|---|---|
| record_format |
koha |
| spelling |
dig-okr-10986404242024-04-26T14:43:40Z Reconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data Decerf, Bonoit Fonton, Kike MULTIDIMENSIONAL POVERTY MEASUREMENT WELL-BEING INDICATOR MONITARY POVERTY MEASUREMENT BIAS MORTALITY IMPACT MEASUREMENT Multidimensional poverty measures can in theory make well-being comparisons that are less biased than those solely based on monetary poverty. However, global multidimensional poverty measures suffer in practice from limitations that have led to credible criticisms. This paper presents the case for multidimensional poverty measures, two criticisms against their current implementations, as well as recently proposed solutions to improve on these criticisms. The paper develops a method for implementing these solutions in practice. The resulting well-being indicator is used to compare well-being across Nigerian states in 2019. This empirical illustration suggests that these solutions may substantially affect well-being comparisons. The paper also quantifies the potential bias inherent to comparing well-being solely based on monetary poverty. The results find substantially different well-being comparisons between the proposed well-being indicator and monetary poverty even though monetary poverty was (i) high in Nigeria in 2019 and (ii) very heterogeneously distributed across Nigerian states; and (iii) is integrated as one component of the proposed well-being indicator. The paper aims to improve global multidimensional poverty measures by making them more consistent with preference theory and by incorporating the direct impact of mortality, which deprives individuals of the most important functioning. 2023-10-03T20:42:54Z 2023-10-03T20:42:54Z 2023-10-03 Working Paper http://documents.worldbank.org/curated/en/099345010022340305/IDU0894308b506a1704cd6091f10302ac764ccdb https://openknowledge.worldbank.org/handle/10986/40424 English en Policy Research Working Paper; 10577 CC BY 3.0 IGO https://creativecommons.org/licenses/by/3.0/igo/ World Bank application/pdf text/plain Washington, DC: World Bank |
| institution |
Banco Mundial |
| collection |
DSpace |
| country |
Estados Unidos |
| countrycode |
US |
| component |
Bibliográfico |
| access |
En linea |
| databasecode |
dig-okr |
| tag |
biblioteca |
| region |
America del Norte |
| libraryname |
Biblioteca del Banco Mundial |
| language |
English English |
| topic |
MULTIDIMENSIONAL POVERTY MEASUREMENT WELL-BEING INDICATOR MONITARY POVERTY MEASUREMENT BIAS MORTALITY IMPACT MEASUREMENT MULTIDIMENSIONAL POVERTY MEASUREMENT WELL-BEING INDICATOR MONITARY POVERTY MEASUREMENT BIAS MORTALITY IMPACT MEASUREMENT |
| spellingShingle |
MULTIDIMENSIONAL POVERTY MEASUREMENT WELL-BEING INDICATOR MONITARY POVERTY MEASUREMENT BIAS MORTALITY IMPACT MEASUREMENT MULTIDIMENSIONAL POVERTY MEASUREMENT WELL-BEING INDICATOR MONITARY POVERTY MEASUREMENT BIAS MORTALITY IMPACT MEASUREMENT Decerf, Bonoit Fonton, Kike Reconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data |
| description |
Multidimensional poverty measures can
in theory make well-being comparisons that are less biased
than those solely based on monetary poverty. However, global
multidimensional poverty measures suffer in practice from
limitations that have led to credible criticisms. This paper
presents the case for multidimensional poverty measures, two
criticisms against their current implementations, as well as
recently proposed solutions to improve on these criticisms.
The paper develops a method for implementing these solutions
in practice. The resulting well-being indicator is used to
compare well-being across Nigerian states in 2019. This
empirical illustration suggests that these solutions may
substantially affect well-being comparisons. The paper also
quantifies the potential bias inherent to comparing
well-being solely based on monetary poverty. The results
find substantially different well-being comparisons between
the proposed well-being indicator and monetary poverty even
though monetary poverty was (i) high in Nigeria in 2019 and
(ii) very heterogeneously distributed across Nigerian
states; and (iii) is integrated as one component of the
proposed well-being indicator. The paper aims to improve
global multidimensional poverty measures by making them more
consistent with preference theory and by incorporating the
direct impact of mortality, which deprives individuals of
the most important functioning. |
| format |
Working Paper |
| topic_facet |
MULTIDIMENSIONAL POVERTY MEASUREMENT WELL-BEING INDICATOR MONITARY POVERTY MEASUREMENT BIAS MORTALITY IMPACT MEASUREMENT |
| author |
Decerf, Bonoit Fonton, Kike |
| author_facet |
Decerf, Bonoit Fonton, Kike |
| author_sort |
Decerf, Bonoit |
| title |
Reconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data |
| title_short |
Reconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data |
| title_full |
Reconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data |
| title_fullStr |
Reconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data |
| title_full_unstemmed |
Reconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data |
| title_sort |
reconceptualizing global multidimensional poverty measurement, with illustration on nigerian data |
| publisher |
Washington, DC: World Bank |
| publishDate |
2023-10-03 |
| url |
http://documents.worldbank.org/curated/en/099345010022340305/IDU0894308b506a1704cd6091f10302ac764ccdb https://openknowledge.worldbank.org/handle/10986/40424 |
| work_keys_str_mv |
AT decerfbonoit reconceptualizingglobalmultidimensionalpovertymeasurementwithillustrationonnigeriandata AT fontonkike reconceptualizingglobalmultidimensionalpovertymeasurementwithillustrationonnigeriandata |
| _version_ |
1798164733878075392 |