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Assessment of non-linearity in calorie–income relationship in Pakistan
This article considers the issue of assessing non-linearity in the relationship between calorie consumption and income using non-parametric and semi-parametric approaches. These methodologies are implemented on the cross-sectional household survey data conducted in Pakistan in 2010–2011. This framew...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794848/ https://www.ncbi.nlm.nih.gov/pubmed/36590219 http://dx.doi.org/10.3389/fnut.2022.1025929 |
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author | Shabnam, Nadia |
author_facet | Shabnam, Nadia |
author_sort | Shabnam, Nadia |
collection | PubMed |
description | This article considers the issue of assessing non-linearity in the relationship between calorie consumption and income using non-parametric and semi-parametric approaches. These methodologies are implemented on the cross-sectional household survey data conducted in Pakistan in 2010–2011. This framework takes account of the heterogeneity among families and potential non-linearity in the relationship. The findings show that the calorie–income elasticity is considerable and statistically significant across estimating methodologies. The results also demonstrate that the elasticity is larger for the substantially poorer households of the sample. By incorporating the explanatory variables in a manageable way in the parametric section of regression procedures, the semi-parametric analysis also reveals a slight increase in calorie response to increases in income at various income levels. |
format | Online Article Text |
id | pubmed-9794848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97948482022-12-29 Assessment of non-linearity in calorie–income relationship in Pakistan Shabnam, Nadia Front Nutr Nutrition This article considers the issue of assessing non-linearity in the relationship between calorie consumption and income using non-parametric and semi-parametric approaches. These methodologies are implemented on the cross-sectional household survey data conducted in Pakistan in 2010–2011. This framework takes account of the heterogeneity among families and potential non-linearity in the relationship. The findings show that the calorie–income elasticity is considerable and statistically significant across estimating methodologies. The results also demonstrate that the elasticity is larger for the substantially poorer households of the sample. By incorporating the explanatory variables in a manageable way in the parametric section of regression procedures, the semi-parametric analysis also reveals a slight increase in calorie response to increases in income at various income levels. Frontiers Media S.A. 2022-12-14 /pmc/articles/PMC9794848/ /pubmed/36590219 http://dx.doi.org/10.3389/fnut.2022.1025929 Text en Copyright © 2022 Shabnam. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Nutrition Shabnam, Nadia Assessment of non-linearity in calorie–income relationship in Pakistan |
title | Assessment of non-linearity in calorie–income relationship in Pakistan |
title_full | Assessment of non-linearity in calorie–income relationship in Pakistan |
title_fullStr | Assessment of non-linearity in calorie–income relationship in Pakistan |
title_full_unstemmed | Assessment of non-linearity in calorie–income relationship in Pakistan |
title_short | Assessment of non-linearity in calorie–income relationship in Pakistan |
title_sort | assessment of non-linearity in calorie–income relationship in pakistan |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794848/ https://www.ncbi.nlm.nih.gov/pubmed/36590219 http://dx.doi.org/10.3389/fnut.2022.1025929 |
work_keys_str_mv | AT shabnamnadia assessmentofnonlinearityincalorieincomerelationshipinpakistan |