Effects of Geographical Stratification in a Farm Accountancy Data Network on the Accuracy of the Estimates

Lucinio Jüdez and Carolina Chaya

Journal of Agricultural Economics, 1999, vol. 50, issue 3, 388-399

Abstract: This study analyses the effects on the accuracy of the estimates produced by an additional stratification of a sample, in this case the sample of the Farm Accountancy Data Network (FADN) of Navarra. This is carried out by studying the accuracy of the total standard gross margin estimator. For the analysis, the variances of the estimator were compared for two samples: one stratified according to type of farming and economic size, and the other with the addition of a geographical stratification. The conclusion of the analysis is that for samples whose size is similar to that of the FADN of Navarra (400 farms), accuracy is not improved by a geographical stratification. This result, a particular case in which stratification does not improve the accuracy of the estimates, may be clarified by the theoretical considerations expounded in this paper.

Date: 1999
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/j.1477-9552.1999.tb00889.x

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:bla:jageco:v:50:y:1999:i:3:p:388-399

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0021-857X

Access Statistics for this article

Journal of Agricultural Economics is currently edited by David Harvey

More articles in Journal of Agricultural Economics from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().