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...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Washington, D.C
The World Bank
2016
|
Schriftenreihe: | World Bank E-Library Archive
|
Online-Zugang: | Volltext |
Zusammenfassung: | 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 |
Beschreibung: | 1 Online-Ressource (44 p) |
DOI: | 10.1596/1813-9450-7539 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV048269179 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 220609s2016 |||| o||u| ||||||eng d | ||
024 | 7 | |a 10.1596/1813-9450-7539 |2 doi | |
035 | |a (ZDB-1-WBA)NLM010464425 | ||
035 | |a (OCoLC)1334060851 | ||
035 | |a (DE-599)GBVNLM010464425 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-12 |a DE-521 |a DE-573 |a DE-523 |a DE-Re13 |a DE-19 |a DE-355 |a DE-703 |a DE-91 |a DE-706 |a DE-29 |a DE-M347 |a DE-473 |a DE-824 |a DE-20 |a DE-739 |a DE-1043 |a DE-863 |a DE-862 | ||
100 | 1 | |a Gilbert, Christopher L. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Price Seasonality in Africa |b Measurement and Extent |c Christopher L Gilbert |
264 | 1 | |a Washington, D.C |b The World Bank |c 2016 | |
300 | |a 1 Online-Ressource (44 p) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a World Bank E-Library Archive | |
520 | |a 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 | ||
700 | 1 | |a Gilbert, Christopher L. |4 oth | |
700 | 1 | |a Kaminski, Jonathan |4 oth | |
700 | 1 | |a Christiaensen, Luc |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Gilbert, Christopher L |t Price Seasonality in Africa: Measurement and Extent |d Washington, D.C : The World Bank, 2016 |
856 | 4 | 0 | |u https://doi.org/10.1596/1813-9450-7539 |x Verlag |z kostenfrei |3 Volltext |
912 | |a ZDB-1-WBA | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033649374 |
Datensatz im Suchindex
_version_ | 1812671774028988416 |
---|---|
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Gilbert, Christopher L. |
author_facet | Gilbert, Christopher L. |
author_role | aut |
author_sort | Gilbert, Christopher L. |
author_variant | c l g cl clg |
building | Verbundindex |
bvnumber | BV048269179 |
collection | ZDB-1-WBA |
ctrlnum | (ZDB-1-WBA)NLM010464425 (OCoLC)1334060851 (DE-599)GBVNLM010464425 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1596/1813-9450-7539 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a2200000zc 4500</leader><controlfield tag="001">BV048269179</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220609s2016 |||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1596/1813-9450-7539</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-1-WBA)NLM010464425</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1334060851</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVNLM010464425</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-Re13</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gilbert, Christopher L.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Price Seasonality in Africa</subfield><subfield code="b">Measurement and Extent</subfield><subfield code="c">Christopher L Gilbert</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Washington, D.C</subfield><subfield code="b">The World Bank</subfield><subfield code="c">2016</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (44 p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">World Bank E-Library Archive</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gilbert, Christopher L.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kaminski, Jonathan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Christiaensen, Luc</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Gilbert, Christopher L</subfield><subfield code="t">Price Seasonality in Africa: Measurement and Extent</subfield><subfield code="d">Washington, D.C : The World Bank, 2016</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1596/1813-9450-7539</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-WBA</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033649374</subfield></datafield></record></collection> |
id | DE-604.BV048269179 |
illustrated | Not Illustrated |
index_date | 2024-07-03T20:00:00Z |
indexdate | 2024-10-12T04:01:54Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033649374 |
oclc_num | 1334060851 |
open_access_boolean | 1 |
owner | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
owner_facet | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
physical | 1 Online-Ressource (44 p) |
psigel | ZDB-1-WBA |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | The World Bank |
record_format | marc |
series2 | World Bank E-Library Archive |
spellingShingle | Gilbert, Christopher L. Price Seasonality in Africa Measurement and Extent |
title | Price Seasonality in Africa Measurement and Extent |
title_auth | Price Seasonality in Africa Measurement and Extent |
title_exact_search | Price Seasonality in Africa Measurement and Extent |
title_exact_search_txtP | Price Seasonality in Africa Measurement and Extent |
title_full | Price Seasonality in Africa Measurement and Extent Christopher L Gilbert |
title_fullStr | Price Seasonality in Africa Measurement and Extent Christopher L Gilbert |
title_full_unstemmed | Price Seasonality in Africa Measurement and Extent Christopher L Gilbert |
title_short | Price Seasonality in Africa |
title_sort | price seasonality in africa measurement and extent |
title_sub | Measurement and Extent |
url | https://doi.org/10.1596/1813-9450-7539 |
work_keys_str_mv | AT gilbertchristopherl priceseasonalityinafricameasurementandextent AT kaminskijonathan priceseasonalityinafricameasurementandextent AT christiaensenluc priceseasonalityinafricameasurementandextent |