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Risk and ambiguity aversion behaviour in index-based insurance uptake decisions: Experimental evidence from Ethiopia 2016-2017
Creator
Van Asseldonk, M, Wageningen University
Belissa, T, Haramaya University
Study number / PID
853427 (UKDA)
10.5255/UKDA-SN-853427 (DOI)
Data access
Restricted
Series
Not available
Abstract
We conducted lab-in-the-field experiments with 1139 smallholders out of whom 596 have adopted IBI in Ethiopia to elicit their risk and ambiguity aversion behaviour, and examine whether risk and/or ambiguity aversion can explain actual IBI uptake decisions. Index-based insurance (IBI) is an innovative pro-poor climate risk management strategy that suffers from low uptake. Evidence on the role of behavioural impediments in adoption of IBI is scant. Our study suggests that an increase in risk- aversion increases uptake, but an increase in ambiguity-aversion lowers uptake of IBI. We also find evidence that an increase in risk aversion speeds-up the uptake of IBI, while an increase in ambiguity aversion delays the adoption of IBI.Farm households in Africa must cope with bad conditions as to soil quality, weather and infrastructure. The variability of rainfall causes yields to vary strongly from one year to the next. With yields already low (due to poor soil condition) these variations can be life threatening. Meanwhile, inadequate infrastructure makes it difficult to help the households with access to financial services, insurance and inputs that could stabilize their access to resources, and enhance yields.
Solving a single aspect, say bringing inputs to the farm, will not be sufficient as credit is also needed. But credit can only be provided if sufficient likelihood exists that loans will be repaid. Here, insurance can help. If insurance of the loan makes it attractive enough for the lender, a package can be composed of inputs, with credit and insurance, that solves all these problems with one bundle. Yet, the households will remain exposed to some risks as insuring against all is prohibitively expensive. What is the appropriate degree of insurance in such bundles? That is the core question addressed in this research. It aims at supplying inputs to farmers on credit, with insurance, in such a way that a good balance is found between the benefits and risks to the...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/10/2016 - 30/09/2017
Country
Ethiopia
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
We used a multi-stage random sampling technique with probability proportional to size to identify our final units of observation. More concretely, we first selected three districts (Bora, Adamitullu- Jido-Kombolcha and Arsi Negele) out of the five districts covered by the IBI project. Based on the list of adopter and non-adopter households, we randomly selected a total of 1139 households for the survey. From these, 596 households were adopters of IBI while the remaining 543 were non-adopters. We conducted a household survey in 2017.
Funding information
Grant number
ES/L012235/1
Access
Publisher
UK Data Service
Publication year
2019
Terms of data access
The UK Data Archive has granted a dissemination embargo. The embargo will end in February 2020 and the data will then be available in accordance with the access level selected.