Biases in Farm-Level Yield Risk Analysis due to
Data Aggregation

Robert Finger

Published: 01.03.2012  〉 Volume 61 (2012), Number 1, 30-43  〉 Resort: Articles 
Submitted: N. A.   〉 Feedback to authors after first review: N. A.   〉 Accepted: N. A.

ABSTRACT

We investigate biases in farm-level yield risk analysis caused by data aggregation from the farm-level to regional and national levels using the example of Swiss wheat and barley yields. The estimated yield variability decreases significantly with increasing level of aggregation, with crop yield variability at the farm-level being up to 2.38 times higher than indicated from national data. Our results show furthermore that inference on shape parameters based on aggregated data might be misleading. Using an example of farm yield insurance, we show that using crop yield variability estimates from aggregated levels leads to erroneous insurance contract specifications.
CONTACT AUTHOR
DR. ROBERT FINGER
Wageningen University
Agricultural Economics and Rural Policy Group
Hollandseweg 1, 6706 KN Wageningen, The Netherlands
e-mail: robert.finger@wur.nl
Download Cover
SUBSCRIBER CONTENT

This is a free article. You can open it here.

RELATED ARTICLES

SHARE THIS ARTICLE

Menu