Bayesian Herders: Updating of Rainfall Beliefs in Response to External Climate Forecasts
Travis J. Lybbert
University of California, Davis - Department of Agricultural and Resource Economics
Christopher B. Barrett
Cornell University - Charles H. Dyson School of Applied Economics & Management
John G. McPeak
Syracuse University - Department of Economics
April 18, 2006
World Development, Vol. 35, No. 3, 2007
Temporal climate risk weighs heavily on many of the world’s poor. Model-based climate forecasts could benefit such populations, provided recipients use forecast information to update climate expectations. We test whether pastoralists in southern Ethiopia and northern Kenya update their expectations in response to forecast information. The minority of herders who received these climate forecasts updated their expectations for below normal rainfall, but not for above normal rainfall. This revealed preoccupation with downside risk highlights the potential value of better climate forecasts in averting drought-related losses, but realizing any welfare gains requires that recipients strategically react to these updated expectations.
Keywords: information, risk, early warning systems, Africa, Kenya, Ethiopia
JEL Classification: D84, O12, O13, Q16Accepted Paper Series
Date posted: May 24, 2011
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