Subsidy Policies with Learning from Stochastic Experiences

Jing Cai, Alain de Janvry () and Elisabeth Sadoulet ()

Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series from Department of Agricultural & Resource Economics, UC Berkeley

Abstract: Many new products presumed to be privately beneficial to the poor have a high price elasticity of demand and ultimately zero take-up rate at market prices. This has led gov- ernments and donors to provide subsidies to increase the take-up, with the hope of reducing the subsidies once the value of the product is better known. In this study, we use data from a two-year field experiment in rural China to define the optimum subsidy scheme that can insure a given take-up for a new weather insurance product for rice producers. We estimate both reduced form causal channels and a structural model of learning from stochastic expe- rience which we use to conduct policy simulations. Results show that the optimum current subsidy necessary to achieve a desired level of take-up rate depends on both past subsidy levels and past payout rates, implying that subsidy levels should vary locally year-to-year.

Keywords: Social and Behavioral Sciences; Subsidy; Insurance; Take-up; Stochastic Learning (search for similar items in EconPapers)
Date: 2016-04-11
New Economics Papers: this item is included in nep-agr, nep-env, nep-ias and nep-tra
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.escholarship.org/uc/item/7568b09m.pdf;origin=repeccitec (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cdl:agrebk:qt7568b09m

Access Statistics for this paper

More papers in Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series from Department of Agricultural & Resource Economics, UC Berkeley Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().