An Econometric Model of Cattle Inventories

Randal R. Rucker, Oscar R. Burt and Jeffrey LaFrance ()

American Journal of Agricultural Economics, 1984, vol. 66, issue 2, 131-144

Abstract: Dynamic regression equations are estimated for each beef cattle breeding herd and beef cattle inventories at two levels of aggregation, the U.S. and Montana. The analysis for Montana was utilized as a guide for specification of the national equation to reduce the inference problem associated with letting the sample data help specify the model. Rational lags on average price received by farmers for calves and the ratio of fed beef to corn prices at Omaha constitute the primary explanatory variables. The equations perform exceedingly well over the sample period ( 1950–80) and in post-sample forecasts with the sample truncated back to 1970.

Date: 1984
References: Add references at CitEc
Citations: View citations in EconPapers (42)

Downloads: (external link)
http://hdl.handle.net/10.2307/1241030 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
Working Paper: An Econometric Model of Cattle Inventories (1984)
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:ajagec:v:66:y:1984:i:2:p:131-144.

Access Statistics for this article

American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu

More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().