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| Barrett, Christopher B.; Luseno, Winnie K.. |
| This paper introduces a simple method of price risk decomposition that determines the extent to which producer price risk is attributable to volatile inter-market margins, intra-day variation, intra-week (day of week) variation, or seasonality. We apply the method to livestock markets in northern Kenya, a setting of dramatic price volatility where price stabilization is a live policy issue. Large, variable inter-market basis is the single most important factor in explaining producer price risk in animals typically traded between markets. Local market conditions explain most price risk in other markets, in which traded animals rarely exit the region. Seasonality accounts for relatively little price risk faced by pastoralists in the dry lands of northern... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Livestock Production/Industries; Risk and Uncertainty. |
| Ano: 2001 |
URL: http://purl.umn.edu/36154 |
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| Barrett, Christopher B.; Luseno, Winnie K.. |
| This paper introduces a simple method of price risk decomposition that determines the extent to which producer price risk is attributable to volatile inter-market margins, intra-day variation, intra-week (day of week) variation, or terminal market price variability. We apply the method to livestock markets in northern Kenya, a setting of dramatic price volatility where price stabilization is a live policy issue. In this particular application, we find that large, variable inter-market basis is the most important factor in explaining producer price risk in animals typically traded between markets. Local market conditions explain most price risk in other markets, in which traded animals rarely exit the region. Variability in terminal market prices accounts... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Demand and Price Analysis; O1; Q13; Q18. |
| Ano: 2002 |
URL: http://purl.umn.edu/14753 |
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| Lybbert, Travis J.; Barrett, Christopher B.; McPeak, John G.; Luseno, Winnie K.. |
| Temporal climate risk weighs heavily on many of the world's poor. Recent advances in model-based climate forecasting have expanded the range, timeliness and accuracy of forecasts available to decision-makers whose welfare depends on stochastic climate outcomes. There has consequently been considerable recent investment in improved climate forecasting for the developing world. Yet, in cultures that have long used indigenous climate forecasting methods, forecasts generated and disseminated by outsiders using unfamiliar methods may not readily gain the acceptance necessary to induce behavioral change. The value of model-based climate forecasts depends critically on the premise that forecast recipients actually use external forecast information to update... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Agribusiness; O1; D1; Q12. |
| Ano: 2003 |
URL: http://purl.umn.edu/14762 |
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