TY - GEN
T1 - Estimating poverty
T2 - 3rd International Conference on Information System and Data Mining, ICISDM 2019
AU - Vizuete-Salazar, Yasmina
AU - Segura-Morales, Marco
AU - Loza-Aguirre, Edison
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/4/6
Y1 - 2019/4/6
N2 - In the report “Poverty and Shared Prosperity 2018: Piecing Together the Poverty Puzzle”, the World Bank points out that “as the world gets richer and progress is made in the battle against extreme poverty, we must not forget that many around the world still live in deprivation, unable to meet their basic needs, even if their income is higher than the International Poverty Line”. This statement establishes two challenges: 1) understanding the complexity of poverty as a multidimensional phenomenon, and, 2) choosing an adequate measure mechanism, which increases data accuracy of poverty, obtaining the closest representation of living conditions of poor people. Nowadays, the compilation of poverty data is a high-cost task for governments due the need of a great amount of financial and human resources. This limitation makes it almost impossible to rely on immediate updated information. This article compiles the evolution of poverty measurement methods and alternatives to gather poverty data that can reduce the costs and time required to update such information.
AB - In the report “Poverty and Shared Prosperity 2018: Piecing Together the Poverty Puzzle”, the World Bank points out that “as the world gets richer and progress is made in the battle against extreme poverty, we must not forget that many around the world still live in deprivation, unable to meet their basic needs, even if their income is higher than the International Poverty Line”. This statement establishes two challenges: 1) understanding the complexity of poverty as a multidimensional phenomenon, and, 2) choosing an adequate measure mechanism, which increases data accuracy of poverty, obtaining the closest representation of living conditions of poor people. Nowadays, the compilation of poverty data is a high-cost task for governments due the need of a great amount of financial and human resources. This limitation makes it almost impossible to rely on immediate updated information. This article compiles the evolution of poverty measurement methods and alternatives to gather poverty data that can reduce the costs and time required to update such information.
KW - Deprivation
KW - Multidimensional approach
KW - Poverty
KW - Poverty measure
KW - Unidimensional approach
UR - http://www.scopus.com/inward/record.url?scp=85068671624&partnerID=8YFLogxK
U2 - 10.1145/3325917.3325924
DO - 10.1145/3325917.3325924
M3 - Contribución a la conferencia
AN - SCOPUS:85068671624
T3 - ACM International Conference Proceeding Series
SP - 80
EP - 86
BT - Proceedings of 3rd International Conference on Information System and Data Mining, ICISDM 2019
PB - Association for Computing Machinery
Y2 - 6 April 2019 through 8 April 2019
ER -