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An Analytical Technique for Estimating Weather Indexes from Meteorological Measurements
Author(s) -
Doll John P.
Publication year - 1967
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 - 10.2307/1237069
Subject(s) - meteorology , environmental science , weather forecasting , weather prediction , remote sensing , geography
A model is developed to estimate crop yield response to weather and time trend. Weather is defined as those meteorological variables directly affecting crop yields, and direct measures of meteorological variables are included in the model. The weather response function is used to determine an index which indicates the effects of weather on crop yields in each year. The index does not depend directly upon the method of trend estimation and all data are readily available from secondary sources. Estimates are obtained through use of a nonlinear regression routine. The model is applied to corn yields and rainfall measurements for the state of Missouri, 1930–1963.