EconPapers    
Economics at your fingertips  
 

Trend, Weather Variables, and the Distribution of U.S. Corn Yields

Michael S. Kaylen and Suffyanu S. Koroma

Review of Agricultural Economics, 1991, vol. 13, issue 2, 249-258

Abstract: A Kalman filter algorithm and 1895–1988 data were used to estimate a U.S. corn yield model which incorporates a stochastic trend term and monthly weather indices. Yield growth peaked in 1964, with the annual increase now only 1.3 bushels per year. The empirical distribution of 1989 corn yield is derived and found to be skewed. The mean yield for 1989 was close to final USDA estimates.

Date: 1991
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://hdl.handle.net/10.2307/1349641 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:revage:v:13:y:1991:i:2:p:249-258.

Ordering information: This journal article can be ordered from
https://academic.oup.com/journals

Access Statistics for this article

More articles in Review of Agricultural Economics from Agricultural and Applied Economics Association Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ( this e-mail address is bad, please contact ) and Christopher F. Baum ().

 
Page updated 2025-03-19
Handle: RePEc:oup:revage:v:13:y:1991:i:2:p:249-258.