Demand and Risk Management Analysis of Rainfall Index Insurance


Book Description

This thesis has two research chapters regarding the government provided Rainfall Index Insurance for Pasture, Rangeland, and Forage (RI-PRF). In the first chapter, we empirically examined whether charity hazard exists between Rainfall Index Insurance (RI-PRF) and government mandated Livestock Forage Program by estimating the demand for RI-PRF. Evidence was found that lagged LFP payments significantly increase the marginal effects of participating in RI-PRF in three of the five states and in the combined model. These results support the opposite of charity hazard where LFP payments improve the probability of purchasing RI-PRF. In our other models, the results provide evidence in support and against charity hazard in RI-PRF participation. As a result, we cannot definitively accept or reject our hypothesis that charity hazard exists in RI-PRF participation. In the second chapter, we examined the relation between RI-PRF insurance interval selection and financial outcomes from forage production for two locations in the Sandhills of Nebraska. We find that the risk reducing effectiveness of the monthly insurance interval depends upon expected precipitation. Our results indicate that insurance scenarios containing monthly intervals with high expected precipitation (during the growing season) reduced producer risk. Whereas insurance scenarios containing monthly intervals with low expected precipitation (non-growing season) did not result in reducing producer risk. In addition, insurance intervals with low expected precipitation offered the highest net returns to insurance participation at one location, had higher premiums and therefore, higher government cost through additional subsidy dollars per acre.







Estimating spatial basis risk in rainfall index insurance


Book Description

This paper develops a novel methodology to estimate the degree of spatial basis risk for an arbitrary rainfall index insurance instrument. It relies on a widelyused stochastic rainfall generator, extendedto accommodate nontraditional dependence patterns—in particular spatial upper-tail dependence in rainfall—through a copula function. The methodology is applied to a recentlylaunched index product insuring against excess rainfall in Uruguay. The model is first calibrated using historical daily rainfall data from the national network of weather stations, complemented with a unique,high-resolution dataset from a dense network of 34 automatic weather stations around the study area. The degree of downside spatial basis risk is then estimated by Monte Carlo simulations and the results are linked to both a theoretical model of the demand for index insurance and to farmers’ perceptions about the product.




Rain Fall Risk, Farmers Perception and Demand for Insurance


Book Description

It is known that agricultural producers around the world are exposed to a variety of income uncertainties, both market related such as price variations, as well as non-market related, unstable weather patterns. It is well known that these uncertainties induce significant income risks, particularly detrimental to small and/or poor producers in developing countries. Over the years, a range of risk management strategies have been used to reduce, or to assist smallholder farmers to absorb, some of agricultural risks. Since insurance is potentially an important instrument to transfer part of the risks, this study try to assess weather related risks faced on smallholder farmers and their demand for the rainfall risk insurance. This book is addressing smallholder farmers' in Ethiopia whose livelihood is depend on agriculture, and are suffering from climate related risks.




Microinsurance


Book Description

Rainfall index insurance provides a payout based on measured local rainfall during key phases of the agricultural season, and in principle can help rural households diversify a key source of idiosyncratic risk. This paper describes basic features of rainfall insurance contracts offered in India since 2003, and documents stylized facts about market demand and the distribution of payouts. The authors summarize the results of previous research on this market, which provides evidence that price, liquidity constraints, and trust all present significant barriers to increased take-up. They also discuss potential future prospects for rainfall insurance and other index insurance products.




Agricultural Adaptation to Climate Change in Africa


Book Description

A changing climate is likely to have a drastic impact on crop yields in Africa. The purpose of this book is to document the effects of climate change on agriculture in Africa and to discuss strategies for adaptation to hotter weather and less predictable rainfall. These strategies include promoting opportunities for farmers to adopt technologies that produce optimal results in terms of crop yield and income under local agro-ecological and socioeconomic conditions. The focus is on sub-Saharan Africa, an area that is already affected by changing patterns of heat and rainfall. Because of the high prevalence of subsistence farming, food insecurity, and extreme poverty in this region, there is a great need for practical adaptation strategies. The book includes empirical research in Ethiopia, Kenya, South Africa, Tanzania, and other Sub-Saharan countries, and the conclusion summarizes policy-relevant findings from the chapters. It is aimed at advanced students, researchers, extension and development practitioners, and officials of government agencies, NGOs, and funding agencies. It also will provide supplementary reading for courses in environment and development and in agricultural economics.




Developing Rainfall-based Index Insurance in Morocco


Book Description

Almost 90 percent of Moroccan agriculture is not irrigated, and since most of Morocco's crops depend on adequate rainfall, yields and production vary widely. A drought insurance program based on rainfall index contracts is feasible in parts of Morocco and could significantly benefit its farmers.




Essays in Weather Insurance and Development


Book Description

Weather index insurance has been attracting much attention from academics and policy makers. When deciding whether and how much insurance to obtain, farmers face a trade-off: while an increasing acre coverage reduces the weather risk, it increases the basis risk. This dissertation investigates the demand for rainfall index insurance in India. Chapter 1 presents the subsidy experiment that was conducted in India and describes the key variables collected. It offers directions for quantitative research using the analyzed dataset. In Chapter 2, I particularly focus on the relationships among basis risk, weather risk, and the risk aversion of potential insurance buyers. Based on the subsidy experiment, I develop a structural model, and estimate the risk aversion parameters. The estimated risk aversion is found to be consistent with the observed inelasticity of demand for many farmers. I also show that a heterogeneity of socio-economic characteristics affects the level of the estimated risk aversion. I find that age, education, and literacy are negatively correlated with the estimated risk aversion. Finally, I derive an aggregate demand and conduct a counterfactual analysis to quantify the effect of basis risk. I find that basis risk is important enough that only farmers within approximately 4km to a weather station can actually reduce the overall risk by purchasing this insurance.




Weather Derivative Valuation


Book Description

Originally published in 2005, Weather Derivative Valuation covers all the meteorological, statistical, financial and mathematical issues that arise in the pricing and risk management of weather derivatives. There are chapters on meteorological data and data cleaning, the modelling and pricing of single weather derivatives, the modelling and valuation of portfolios, the use of weather and seasonal forecasts in the pricing of weather derivatives, arbitrage pricing for weather derivatives, risk management, and the modelling of temperature, wind and precipitation. Specific issues covered in detail include the analysis of uncertainty in weather derivative pricing, time-series modelling of daily temperatures, the creation and use of probabilistic meteorological forecasts and the derivation of the weather derivative version of the Black-Scholes equation of mathematical finance. Written by consultants who work within the weather derivative industry, this book is packed with practical information and theoretical insight into the world of weather derivative pricing.




Microinsurance


Book Description

Rainfall index insurance provides a payout based on measured local rainfall during key phases of the agricultural season, and in principle can help rural households diversify a key source of idiosyncratic risk. This paper describes basic features of rainfall insurance contracts offered in India since 2003, and documents stylized facts about market demand and the distribution of payouts. The authors summarize the results of previous research on this market, which provides evidence that price, liquidity constraints, and trust all present significant barriers to increased take-up. They also discuss potential future prospects for rainfall insurance and other index insurance products.