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Selection of Representative Benchmark Farms for Supply Estimation
Author(s) -
Sheehy Seamus J.,
McAlexander R. H.
Publication year - 1965
Publication title -
american journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.949
H-Index - 111
eISSN - 1467-8276
pISSN - 0002-9092
DOI - 10.2307/1236281
Subject(s) - benchmark (surveying) , selection (genetic algorithm) , estimation , computer science , econometrics , statistics , machine learning , economics , geography , mathematics , cartography , management
Many researchers have been associated with studies involving the use of results of benchmark farms in aggregation; however, only limited attention appears to have been given the effect of benchmark farm selection on aggregation bias. This paper is concerned with the selection procedure of such farms from a sample of farms, and in the aggregation of linear programming results of these benchmark farms in estimating the potential output of a major commodity for an area. Possible bias associated with a conventional method of selection is discussed, an alternative method of selection is presented, and the supply functions for milk for a sample of farms in one geographic area are compared using the two approaches.