Parametric and nonparametric statistical modelling of crop yield: implications for pricing crop insurance contracts

C-Tier
Journal: Applied Economics
Year: 2008
Volume: 40
Issue: 9
Pages: 1151-1164

Authors (3)

Vitor Ozaki (not in RePEc) Barry Goodwin (North Carolina State Universit...) Ricardo Shirota (not in RePEc)

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This article considers alternative methods to calculate the fair premium rate of crop insurance contracts based on county yields. The premium rate was calculated using parametric and nonparametric approaches to estimate the conditional agricultural yield density. These methods were applied to a data set of county yield provided by the Statistical and Geography Brazilian Institute (IBGE), for the period of 1990 through 2002, for soybean, corn and wheat, in the State of Parana. In this article, we propose methodological alternatives to pricing crop insurance contracts resulting in more accurate premium rates in a situation of limited data.

Technical Details

RePEc Handle
repec:taf:applec:v:40:y:2008:i:9:p:1151-1164
Journal Field
General
Author Count
3
Added to Database
2026-01-25