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Food price seasonality in Africa: Measurement and extent

Everyone knows about seasonality. But what exactly do we know? This study systematically measures seasonal price gaps at 193 markets for 13 food commodities in seven African countries. It shows that the commonly used dummy variable or moving average deviation methods to estimate the seasonal gap can...

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Detalles Bibliográficos
Autores principales: Gilbert, Christopher L., Christiaensen, Luc, Kaminski, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IPC Science and Technology Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384441/
https://www.ncbi.nlm.nih.gov/pubmed/28413251
http://dx.doi.org/10.1016/j.foodpol.2016.09.016
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author Gilbert, Christopher L.
Christiaensen, Luc
Kaminski, Jonathan
author_facet Gilbert, Christopher L.
Christiaensen, Luc
Kaminski, Jonathan
author_sort Gilbert, Christopher L.
collection PubMed
description Everyone knows about seasonality. But what exactly do we know? This study systematically measures seasonal price gaps at 193 markets for 13 food commodities in seven African countries. It shows that the commonly used dummy variable or moving average deviation methods to estimate the seasonal gap can yield substantial upward bias. This can be partially circumvented using trigonometric and sawtooth models, which are more parsimonious. Among staple crops, seasonality is highest for maize (33 percent on average) and lowest for rice (16½ percent). This is two and a half to three times larger than in the international reference markets. Seasonality varies substantially across market places but maize is the only crop in which there are important systematic country effects. Malawi, where maize is the main staple, emerges as exhibiting the most acute seasonal differences. Reaching the Sustainable Development Goal of Zero Hunger requires renewed policy attention to seasonality in food prices and consumption.
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spelling pubmed-53844412017-04-12 Food price seasonality in Africa: Measurement and extent Gilbert, Christopher L. Christiaensen, Luc Kaminski, Jonathan Food Policy Article Everyone knows about seasonality. But what exactly do we know? This study systematically measures seasonal price gaps at 193 markets for 13 food commodities in seven African countries. It shows that the commonly used dummy variable or moving average deviation methods to estimate the seasonal gap can yield substantial upward bias. This can be partially circumvented using trigonometric and sawtooth models, which are more parsimonious. Among staple crops, seasonality is highest for maize (33 percent on average) and lowest for rice (16½ percent). This is two and a half to three times larger than in the international reference markets. Seasonality varies substantially across market places but maize is the only crop in which there are important systematic country effects. Malawi, where maize is the main staple, emerges as exhibiting the most acute seasonal differences. Reaching the Sustainable Development Goal of Zero Hunger requires renewed policy attention to seasonality in food prices and consumption. IPC Science and Technology Press 2017-02 /pmc/articles/PMC5384441/ /pubmed/28413251 http://dx.doi.org/10.1016/j.foodpol.2016.09.016 Text en © 2016 The Authors. Published by Elsevier Ltd. All rights reserved. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Gilbert, Christopher L.
Christiaensen, Luc
Kaminski, Jonathan
Food price seasonality in Africa: Measurement and extent
title Food price seasonality in Africa: Measurement and extent
title_full Food price seasonality in Africa: Measurement and extent
title_fullStr Food price seasonality in Africa: Measurement and extent
title_full_unstemmed Food price seasonality in Africa: Measurement and extent
title_short Food price seasonality in Africa: Measurement and extent
title_sort food price seasonality in africa: measurement and extent
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384441/
https://www.ncbi.nlm.nih.gov/pubmed/28413251
http://dx.doi.org/10.1016/j.foodpol.2016.09.016
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