Data for: A heterogeneous agent model of credit-linked index insurance and farm technology adoption

Published: 9 Dec 2016 | Version 1 | DOI: 10.17632/zgw53kkkyb.1
Contributor(s):

Description of this data

Abstract of associated article: Protection from downside risk is a determinant of technology uptake among subsistence agricultural households. Access to credit, insurance and savings may stimulate technology adoption where new methods are riskier but higher-yielding or require sunk costs. In this paper, we employ a dynamic, stochastic, heterogeneous agent model where farm households have access to contingent credit and make savings, technology and loan repayment choices. Our approach is novel as insurance is modeled as a meso-level product, where the bank is indemnified before any payouts are distributed to borrowers; thus, it accounts for both supply- and demand-side concerns, showing a flow of effects when index insurance contracts are sold to risk aggregators for whom basis risk is lower. Results show letting the lender lay first claim on indemnities lowers default, which can decrease interest rates and expand credit access. Insurance and savings may also spur technology uptake.

Experiment data files

This data is associated with the following publication:

A heterogeneous agent model of credit-linked index insurance and farm technology adoption

Published in: Journal of Development Economics

Latest version

  • Version 1

    2016-12-09

    Published: 2016-12-09

    DOI: 10.17632/zgw53kkkyb.1

    Cite this dataset

    Farrin, Katie (2016), “Data for: A heterogeneous agent model of credit-linked index insurance and farm technology adoption ”, Mendeley Data, v1 http://dx.doi.org/10.17632/zgw53kkkyb.1

Categories

Economics, Macroeconomics

Mendeley Library

Organise your research assets using Mendeley Library. Add to Mendeley Library

Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

What does this mean?

You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

Report