WEATHER INSURANCE
نویسندگان
چکیده
منابع مشابه
Weather Insurance Savings Accounts
Better insurance against rainfall risk could improve the security of hundreds of millions of agricultural households around the world. This paper theoretically and experimentally analyzes an innovative financial product called a Weather Insurance Savings Account (WISA), which combines savings and rainfall insurance. We index the insurance share of the WISA by γ ∈ [0, 1] and use a standard model...
متن کاملWeather Based Crop Insurance in India
The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expresse...
متن کاملContributions of Agricultural Systems Modeling to Weather Index Insurance
Climate exerts a profound influence on the lives of rural populations, particularly the rural poor, who depend on agriculture for livelihood and sustenance, who are unprotected against climate-related diseases, who lack secure access to water and food, and who are vulnerable to hydrometeorological hazard. Climate shocks such as drought and flooding lead not only to loss of life, but also long-t...
متن کاملThe Impact of Weather Insurance on Consumption, Investment, and Welfare
I develop and estimate a dynamic stochastic optimization model to assess the impact of weather insurance on the consumption, investment, and welfare of farmers in developing countries. Weather insurance has the potential to provide large welfare gains, equivalent to a permanent increase in consumption of almost 17%. Moreover, it can allow for the adoption of riskier but more productive seeds, f...
متن کاملA Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claims
Climate change will affect the insurance industry. We develop a Bayesian hierarchical statistical approach to explain and predict insurance losses due to weather events at a local geographic scale. The number of weather-related insurance claims is modelled by combining generalized linear models with spatially smoothed variable selection. Using Gibbs sampling and reversible jump Markov chain Mon...
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ژورنال
عنوان ژورنال: Monthly Weather Review
سال: 1916
ISSN: 0027-0644,1520-0493
DOI: 10.1175/1520-0493(1916)44<575b:wi>2.0.co;2