Dynamic Field Experiments in Development Economics: Risk Valuation in Morocco, Kenya, and Peru
Travis Lybbert (),
Francisco Galarza (),
Christopher Barrett (),
Stephen R. Boucher,
Sommarat Chantarat (),
Aziz Fadlaoui and
Andrew G. Mude
Agricultural and Resource Economics Review, 2010, vol. 39, issue 2, 17
The effective design and implementation of interventions that reduce vulnerability and poverty require a solid understanding of underlying poverty dynamics and associated behavioral responses. Stochastic and dynamic benefit streams can make it difficult for the poor to learn the value of such interventions to them. We explore how dynamic field experiments can help (i) intended beneficiaries to learn and understand these complicated benefit streams, and (ii) researchers to better understand how the poor respond to risk when faced with nonlinear welfare dynamics. We discuss and analyze dynamic risk valuation experiments in Morocco, Peru, and Kenya.
Keywords: International Development; Research Methods/ Statistical Methods; Risk and Uncertainty (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21) Track citations by RSS feed
Downloads: (external link)
Journal Article: Dynamic Field Experiments in Development Economics: Risk Valuation in Morocco, Kenya, and Peru (2010)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ags:arerjl:90791
Access Statistics for this article
More articles in Agricultural and Resource Economics Review from Northeastern Agricultural and Resource Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().