An econometric model of cattle inventories

Randal R. Rucker, Oscar R. Burt, Jeffrey T. LaFrance

Research output: Contribution to journalArticleResearchpeer-review

28 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)131-144
Number of pages14
JournalAmerican Journal of Agricultural Economics
Issue number2
Publication statusPublished - 1 Jan 1984
Externally publishedYes


  • Cattle
  • Econometrics
  • Inventories

Cite this