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Meta-Analysis of Multiple Treatments Experiments

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  • Zapata, Samuel D.
  • Griffin, Terry W.

Abstract

Limited theoretical and empirical work have been conducted to synthetize multiple treatment experiments commonly used in agricultural field sciences. The main objective of this study was to extend the current meta-analysis literature by developing a flexible econometric model to evaluate multiple treatment data. The proposed method is based on random effects meta-regression and mixed effects models. The model is illustrated on a publicly available series of nitrogen field experiments on corn production in the upper Midwestern United States. Stochastic plateau theory integrated with econometric meta-analysis methodology was used to determine the agronomic optimal nitrogen application rate and shape of the functional form of corresponding yield potential.

Suggested Citation

  • Zapata, Samuel D. & Griffin, Terry W., 2017. "Meta-Analysis of Multiple Treatments Experiments," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252840, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea17:252840
    DOI: 10.22004/ag.econ.252840
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    References listed on IDEAS

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    1. Griffin, Terry Wayne & Zapata, Samuel D., 2015. "Optimal Cotton Insecticide Application Termination Timing: A Meta-Analysis," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196815, Southern Agricultural Economics Association.
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      Keywords

      Crop Production/Industries; Farm Management; Production Economics; Productivity Analysis; Research Methods/ Statistical Methods;
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