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Evaluating multidimensional poverty at the individual level in a middle-income country: a comprehensive approach using Peruvian data

I develop a comprehensive, policy-relevant and individual-based measure of
multidimensional poverty applied to a middle-income Latin American country: the
Comprehensive Multidimensional Poverty Index for Peru (C-MPI-P). The C-MPI-P is
conceptually grounded in Amartya Sen’s capability approach and is based on the
axiomatic counting method of poverty identification and aggregation developed by
Alkire and Foster. I estimate the C-MPI-P taking advantage of a well-being specialised
survey collected in late 2018 in Peru, which included novel data on individual
achievements across 12 well-being dimensions, information on the value that
respondents place upon each of these dimensions, and on self-perceived poverty. I
use this information to calibrate two key parameters of the C-MPI-P: the dimensional
weights (w), and the poverty threshold (k). The C-MPI-P identifies a person as
experiencing poverty if she suffers deprivations in approximately four out of 12
weighted dimensions (k=34%). I estimate that in 2018 almost one in four Peruvian
people aged 18 or over lived in multidimensional poverty. I also find significant
disparities in terms of poverty incidence –proportion of people living in
multidimensional poverty–, especially between the rural and urban population, and
indigenous and non-indigenous people. My main results are robust to different values
for k and to weighting schemes that affect the dimensional structure of the C-MPI-P.

Identiferoai:union.ndltd.org:PUCP/oai:tesis.pucp.edu.pe:20.500.12404/26766
Date11 January 2024
CreatorsSalas Núñez Borja, Fabio Manuel
ContributorsClausen Lizarraga, Jhonatan Augusto
PublisherPontificia Universidad Católica del Perú, PE
Source SetsPontificia Universidad Católica del Perú
LanguageSpanish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/bachelorThesis
Formatapplication/pdf, application/pdf
Rightsinfo:eu-repo/semantics/closedAccess

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