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Alert at Maradi: Preventing Food Crises in West Africa by Using Price Signals

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  • Araujo, Claudio
  • Araujo-Bonjean, Catherine
  • Brunelin, Stephanie

Abstract

The aim of this paper is to exploit grain price data to detect the warning signs of looming food crises in Mali, Burkina Faso and Niger. Firstly we identify which markets play a leading role at the national and regional level. The second step consists of identifying crisis periods and characterizing price movements during the period proceeding a crisis. This analysis leads to the identification of early warning indicators whose relevance is tested using panel data qualitative choice models. The results show that monitoring price movements on "leading markets" during crucial periods of the year can help in forecasting future crises.

Suggested Citation

  • Araujo, Claudio & Araujo-Bonjean, Catherine & Brunelin, Stephanie, 2011. "Alert at Maradi: Preventing Food Crises in West Africa by Using Price Signals," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114226, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae11:114226
    DOI: 10.22004/ag.econ.114226
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    1. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    2. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053.
    3. Angus Deaton & Guy Laroque, 1992. "On the Behaviour of Commodity Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(1), pages 1-23.
    4. Ravallion, Martin, 1985. "The Performance of Rice Markets in Bangladesh during the 1974 Famine," Economic Journal, Royal Economic Society, vol. 95(377), pages 15-29, March.
    5. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
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