AGRICULTURAL ECONOMISTS, RESPONSE FUNCTIONS AND LACK-OF-FIT TESTS

The significance of statistical lack-of-fit tests for hypothesized response functions describing experimental data is traced in some of the recent agricultural economics literature. The statistical test is reviewed in a regression framework and it is shown that the test is related to testing that some of the coefficients in a linear regression model have zero values. Comments are made on the relationship between the lack-of-fit test and the coefficient of determination.


Issue Date:
1977-09
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/9116
Published in:
Review of Marketing and Agricultural Economics, Volume 45, Number 03
Page range:
85-94
Total Pages:
10




 Record created 2017-04-01, last modified 2017-04-27

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