Modelling yield risk measures of major crop plants

Pawel Kobus

No 122535, 123rd Seminar, February 23-24, 2012, Dublin, Ireland from European Association of Agricultural Economists

Abstract: The paper deals with the problem of modelling yield risk measures for major crop plants in Poland. Hence, in some cases the gamma distribution offers a better fit to the data than normal distribution, and in addition to linear models, generalized linear models were also used. The research was based on data from Polish FADN, with sample sizes ranging from 416 up to 2300, depending on the crop plant. It was found that models based on the farm level data, can explain on average 20% of variation coefficient unevenness. The most important variables were average yield, type of farming, arable area and land quality. The elimination of the average yield from the models reduced the average determination coefficient to about 9%.

Keywords: Risk; and; Uncertainty (search for similar items in EconPapers)
Pages: 13
Date: 2012-02-23
New Economics Papers: this item is included in nep-agr
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/122535/files/KOBUS.pdf (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:ags:eaa123:122535

DOI: 10.22004/ag.econ.122535

Access Statistics for this paper

More papers in 123rd Seminar, February 23-24, 2012, Dublin, Ireland from European Association of Agricultural Economists Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().