Empirical forecasting of slow-onset disasters for improved emergency response: An application to Kenya's arid north
Mitigating the negative welfare consequences of crises such as droughts, floods, and disease outbreaks, is a major challenge in many areas of the world, especially in highly vulnerable areas insufficiently equipped to prevent food and livelihood security crisis in the face of adverse shocks. Given the finite resources allocated for emergency response, and the expected increase in incidences of humanitarian catastrophe due to changing climate patterns, there is a need for rigorous and efficient methods of early warning and emergency needs assessment. In this paper we develop an empirical model, based on a relatively parsimonious set of regularly measured variables from communities in Kenya's arid north, that generates remarkably accurate forecasts of the likelihood of famine with at least 3Â months lead time. Such a forecasting model is a potentially valuable tool for enhancing early warning capacity.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Luseno, Winnie K. & McPeak, John G. & Barrett, Christopher B. & Little, Peter D. & Gebru, Getachew, 2003. "Assessing the Value of Climate Forecast Information for Pastoralists: Evidence from Southern Ethiopia and Northern Kenya," World Development, Elsevier, vol. 31(9), pages 1477-1494, September.
- Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
- Travis J. Lybbert & Christopher B. Barrett & Solomon Desta & D. Layne Coppock, 2004.
"Stochastic wealth dynamics and risk management among a poor population,"
Royal Economic Society, vol. 114(498), pages 750-777, October.
- Lybbert, Travis J. & Barrett, Christopher B. & Desta, Solomon & Coppock, D. Layne, 2002. "Stochastic Wealth Dynamics And Risk Management Among A Poor Population," Working Papers 14736, Cornell University, Department of Applied Economics and Management.
- McKenzie, D.J.David J., 2004. "Asymptotic theory for heterogeneous dynamic pseudo-panels," Journal of Econometrics, Elsevier, vol. 120(2), pages 235-262, June.
- Christopher Barrett, 1997. "Heteroscedastic price forecasting for food security management in developing countries," Oxford Development Studies, Taylor & Francis Journals, vol. 25(2), pages 225-236.
- Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
- Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
- Tom Doan, "undated". "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
- John McPeak, 2004. "Contrasting income shocks with asset shocks: livestock sales in northern Kenya," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 263-284, April.
- Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:eee:jfpoli:v:34:y:2009:i:4:p:329-339. See general information about how to correct material in RePEc.
If references are entirely missing, you can add them using this form.