More than Mean Effects: Modeling the Effect of Climate on the Higher Order Moments of Crop Yields

18 Pages Posted: 15 Apr 2020

See all articles by Jesse Tack

Jesse Tack

Kansas State University

Keith Coble

Mississippi State University

Multiple version iconThere are 2 versions of this paper

Date Written: October 2012

Abstract

This article proposes the use of moment functions and maximum entropy techniques as a flexible approach for estimating conditional crop yield distributions. We present a moment‐based model that extends previous approaches, and is easily estimated using standard econometric estimators. Predicted moments under alternative regimes are used as constraints in a maximum entropy framework to analyze the distributional impacts of switching regimes. An empirical application for Arkansas, Mississippi, and Texas upland cotton demonstrates how climate and irrigation affect the shape of the yield distribution, and allows us to illustrate several advantages of our moment‐based maximum entropy approach.

Keywords: climate change, distribution, entropy, moment, yield

Suggested Citation

Tack, Jesse and Coble, Keith, More than Mean Effects: Modeling the Effect of Climate on the Higher Order Moments of Crop Yields (October 2012). American Journal of Agricultural Economics, Vol. 94, Issue 5, pp. 1037-1054, 2012, Available at SSRN: https://ssrn.com/abstract=3572288 or http://dx.doi.org/10.1093/ajae/aas071

Jesse Tack (Contact Author)

Kansas State University ( email )

Manhatten, KS 66506-4001
United States

Keith Coble

Mississippi State University

Mississippi State, MS 39762
United States

Do you want regular updates from SSRN on Twitter?

Paper statistics

Downloads
0
Abstract Views
72
PlumX Metrics