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Estimation of poverty bounds for Pakistan using synthetic panel data

Poverty is a big threat to prosperity in developing countries like Pakistan. Alleviating poverty needs concerted efforts including how to measure and analyze poverty. Therefore, this paper employs synthetic panel technique and uses repeated cross-sections household survey dataset (Household Integrat...

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Autores principales: Shabnam, Nadia, Ameer, Waqar, Aurangzeb, Neelam, Ashraf, Muhammad Azeem, Shah, Syed Hasanat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035873/
https://www.ncbi.nlm.nih.gov/pubmed/36952554
http://dx.doi.org/10.1371/journal.pone.0276673
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author Shabnam, Nadia
Ameer, Waqar
Aurangzeb, Neelam
Ashraf, Muhammad Azeem
Shah, Syed Hasanat
author_facet Shabnam, Nadia
Ameer, Waqar
Aurangzeb, Neelam
Ashraf, Muhammad Azeem
Shah, Syed Hasanat
author_sort Shabnam, Nadia
collection PubMed
description Poverty is a big threat to prosperity in developing countries like Pakistan. Alleviating poverty needs concerted efforts including how to measure and analyze poverty. Therefore, this paper employs synthetic panel technique and uses repeated cross-sections household survey dataset (Household Integrated and Economic Survey (HIES)) of Pakistan for 2010–11 and 2015–16, to derive poverty bounds for Pakistan. The findings of the paper suggest that 17% of population still remains in poverty in 2015–16 as they were in 2010–11. They don’t move in or out of poverty. In the same periods 19% population affected by poverty. The 2.5% poor’s of 2010–11 moves out of poverty in 2015–16. This constitutes the first attempt to provide an insight into poverty dynamics in Pakistan using the available survey data.
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spelling pubmed-100358732023-03-24 Estimation of poverty bounds for Pakistan using synthetic panel data Shabnam, Nadia Ameer, Waqar Aurangzeb, Neelam Ashraf, Muhammad Azeem Shah, Syed Hasanat PLoS One Research Article Poverty is a big threat to prosperity in developing countries like Pakistan. Alleviating poverty needs concerted efforts including how to measure and analyze poverty. Therefore, this paper employs synthetic panel technique and uses repeated cross-sections household survey dataset (Household Integrated and Economic Survey (HIES)) of Pakistan for 2010–11 and 2015–16, to derive poverty bounds for Pakistan. The findings of the paper suggest that 17% of population still remains in poverty in 2015–16 as they were in 2010–11. They don’t move in or out of poverty. In the same periods 19% population affected by poverty. The 2.5% poor’s of 2010–11 moves out of poverty in 2015–16. This constitutes the first attempt to provide an insight into poverty dynamics in Pakistan using the available survey data. Public Library of Science 2023-03-23 /pmc/articles/PMC10035873/ /pubmed/36952554 http://dx.doi.org/10.1371/journal.pone.0276673 Text en © 2023 Shabnam et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Shabnam, Nadia
Ameer, Waqar
Aurangzeb, Neelam
Ashraf, Muhammad Azeem
Shah, Syed Hasanat
Estimation of poverty bounds for Pakistan using synthetic panel data
title Estimation of poverty bounds for Pakistan using synthetic panel data
title_full Estimation of poverty bounds for Pakistan using synthetic panel data
title_fullStr Estimation of poverty bounds for Pakistan using synthetic panel data
title_full_unstemmed Estimation of poverty bounds for Pakistan using synthetic panel data
title_short Estimation of poverty bounds for Pakistan using synthetic panel data
title_sort estimation of poverty bounds for pakistan using synthetic panel data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035873/
https://www.ncbi.nlm.nih.gov/pubmed/36952554
http://dx.doi.org/10.1371/journal.pone.0276673
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