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Title: Optimal measurement of factors affecting crop production: maximum likelihood methods

Abstract

The authors use maximum likelihood estimate (MLE) rather than least squares to model changes in crop yield due to air pollutants and other covariates. The MLE methods are more efficient and simpler to compute as a means of estimating agricultural response functions. These methods easily incorporate censoring to avoid bias due to economic or weather factors, and can explain the relationship between the productive life and environmental change. The latter capability appears particularly important when modeling the responses of perennials, where chronic effects over multiple growing seasons may shorten economic lives. 10 references, 1 table.

Authors:
; ;
Publication Date:
Research Org.:
Univ. of Wyoming, Laramie
OSTI Identifier:
6303620
Resource Type:
Conference
Journal Name:
Am. J. Agric. Econ.; (United States)
Additional Journal Information:
Journal Volume: 67:2; Conference: AAEA annual meeting, Ames, IA, USA, 4-7 Aug 1985
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTANT EFFECTS ON LIVING ORGS. AND BIOL. MAT.; 29 ENERGY PLANNING, POLICY AND ECONOMY; AGRICULTURE; PRODUCTIVITY; AIR POLLUTION; ECONOMIC IMPACT; MEASURING METHODS; CROPS; ECONOMIC ANALYSIS; PLANT GROWTH; SOYBEANS; ECONOMICS; FOOD; GROWTH; INDUSTRY; PLANTS; POLLUTION; VEGETABLES; 500200* - Environment, Atmospheric- Chemicals Monitoring & Transport- (-1989); 560303 - Chemicals Metabolism & Toxicology- Plants- (-1987); 290300 - Energy Planning & Policy- Environment, Health, & Safety

Citation Formats

Atkinson, S E, Adams, R M, and Crocker, T D. Optimal measurement of factors affecting crop production: maximum likelihood methods. United States: N. p., 1985. Web.
Atkinson, S E, Adams, R M, & Crocker, T D. Optimal measurement of factors affecting crop production: maximum likelihood methods. United States.
Atkinson, S E, Adams, R M, and Crocker, T D. Wed . "Optimal measurement of factors affecting crop production: maximum likelihood methods". United States.
@article{osti_6303620,
title = {Optimal measurement of factors affecting crop production: maximum likelihood methods},
author = {Atkinson, S E and Adams, R M and Crocker, T D},
abstractNote = {The authors use maximum likelihood estimate (MLE) rather than least squares to model changes in crop yield due to air pollutants and other covariates. The MLE methods are more efficient and simpler to compute as a means of estimating agricultural response functions. These methods easily incorporate censoring to avoid bias due to economic or weather factors, and can explain the relationship between the productive life and environmental change. The latter capability appears particularly important when modeling the responses of perennials, where chronic effects over multiple growing seasons may shorten economic lives. 10 references, 1 table.},
doi = {},
url = {https://www.osti.gov/biblio/6303620}, journal = {Am. J. Agric. Econ.; (United States)},
number = ,
volume = 67:2,
place = {United States},
year = {1985},
month = {5}
}

Conference:
Other availability
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