Alfalfa seed demand analysis using panel data from seven Western states

Gordon L. Myer, Arunava Bhattacharyya and Jianjian Liu
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Gordon L. Myer: Department of Applied Economics and Statistics, University of Nevada, Reno, NV 89557-0105, Postal: Department of Applied Economics and Statistics, University of Nevada, Reno, NV 89557-0105
Arunava Bhattacharyya: Marketing Sciences, AT&T, Postal: Marketing Sciences, AT&T
Jianjian Liu: Department of Applied Economics and Statistics, University of Nevada, Reno, NV 89557-0105, Postal: Department of Applied Economics and Statistics, University of Nevada, Reno, NV 89557-0105

Agribusiness, 1998, vol. 14, issue 2, 139-146

Abstract: Price responsiveness of alfalfa seed demand is estimated using a panel data set of seven Western states, covering the period 1950 to 1992. The demand function is derived from a generalized Leontief variable cost function with a time trend. Tests are performed and corrections are made for heteroskedasticity and serial autocorrelation. Estimated own-price elasticities of demand are highly inelastic, but over time become price sensitive. The estimated cross-price elasticities indicate that machinery price has the highest impact on alfalfa seed demand. An estimate of technological change indicates that the industry has been taking advantage of the improved seed genetics. © 1998 John Wiley & Sons, Inc.

Date: 1998
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Persistent link: https://EconPapers.repec.org/RePEc:wly:agribz:v:14:y:1998:i:2:p:139-146

DOI: 10.1002/(SICI)1520-6297(199803/04)14:2<139::AID-AGR6>3.0.CO;2-3

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