The design of multiple crop insurance in Indonesia based on revenue risk using the copula model approach

H. A. Rusyda, L. Noviyanti, A. Z. Soleh, A. Chadidjah and F. Indrayatna

Journal of Applied Statistics, 2021, vol. 48, issue 13-15, 2920-2930

Abstract: It is important for Indonesia as a country with agricultural bases to develop crop insurance. Until now, Indonesia has not had any insurance for horticultural crops other than for corn. This paper discusses horticultural multicrop insurance products based on revenue risk that can be triggered by low prices, low yields, or a combination of both. In designing multicrop insurance products, it is important to model the variability of revenue risk through the implementation of copula toward crop yield and price and to estimate indemnity of the revenue-based multicrop insurance. The analysis employed Gumbel and Clayton copulas to model the dependency structure between crop yield and price of multicrops. Each marginal variable was modeled by using the ARIMA model. The results showed that multicrop revenue insurance tends to reduce the price of agricultural insurance in Indonesia, and thus this program has the potential to have good acceptance in agricultural insurance.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/02664763.2021.1897089 (text/html)
Access to full text is restricted to subscribers.

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:taf:japsta:v:48:y:2021:i:13-15:p:2920-2930

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664763.2021.1897089

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().