Joel Johnson Mmasa
University of Dodoma College of Economics and Statistics ( COBE) Department of Economics P.O . Box 2, Tanzania
Publications
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Research Article
Predicting Crop Insurance Share of Preference in Tanzania Using Randomized First Choice Model (RFC)
Author(s): Godwin Stanslaus Kalokola*, Arbogast Moshi and Joel Johnson Mmasa
There are four methods of market simulation models, such as share of preference, Randomized First Choice (RFC), first choice, and total utility, which are popular in different countries for predicting crop insurance share of product. In Tanzania literature is scant in all methods. This paper only focuses on the Randomized First Choice (RFC) as suggested by Orme (1998) and later refined by Huber, Orme, and Miller (1999) for predicting crop insurance share of preference. The Choice Based Conjoint (CBC) study was used to investigate preferred crop insurance packages based on three developed hypothetical crop insurance products, i.e., Najivunia, Fahari Kilimo, and Siteterki, with four attributes and three varying levels. An eight-choice task with a combination of random and fixed holdouts was shown to 360 maize smallholder farmers in Kongwa District to elicit preferred or highest crop ins.. Read More»
