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Estimating parametric loss aversion with prospect theory: recognising and dealing with size dependence

Balcombe, K., Bardsley, N., Dadzie, S. and Fraser, I. (2019) Estimating parametric loss aversion with prospect theory: recognising and dealing with size dependence. Journal of Economic Behavior & Organization, 162. pp. 106-119. ISSN 0167-2681

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To link to this item DOI: 10.1016/j.jebo.2019.04.017

Abstract/Summary

Parametric identification of loss aversion requires either the imposition of rotational symmetry on the utility function or a point dependent normalization condition. In this paper, we propose a new approach in which point dependence is reduced by integration over normalization points. To illustrate our approach, we consider a sample of Ghanaian farmers' risk preferences over the gain, loss and mixed domains. Using Bayesian econometric methods, we and support for Prospect Theory albeit with substantial behavioral variation across individuals plus mild overweighting of losses compared to gains. We also show that the majority of respondents are mildly loss averse especially as the size of the payoffs increase.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Agriculture, Policy and Development > Economic and Social Sciences Division > Food Economics and Marketing (FEM)
ID Code:83342
Publisher:Elsevier

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