Crop-yield distributions revisited

Octavio A. Ramirez, Sukant Misra, James Field

Research output: Contribution to journalArticlepeer-review

Abstract

This article revisits the issue of crop-yield distributions using improved model specifications, estimation, and testing procedures that address the concerns raised in recent literature, which could have invalidated previous findings of yield nonnormality. It concludes that some aggregate and farm-level yield distributions are nonnormal, kurtotic, and right or left skewed, depending on the circumstances. The advantages of utilizing nonnormal versus normal probability distribution function models, and the consequences of incorrectly assuming crop-yield normality are explored.

Original languageEnglish
Pages (from-to)108-120
Number of pages13
JournalAmerican Journal of Agricultural Economics
Volume84
Issue number1
StatePublished - Feb 1 2003

Keywords

  • Corn Belt
  • Crop-yields
  • Nonnormality
  • Probability distributions
  • Texas cotton

Fingerprint

Dive into the research topics of 'Crop-yield distributions revisited'. Together they form a unique fingerprint.

Cite this