A Multivariate Evaluation of Ex ante Risks Associated with Fed Cattle Production

被引:9
作者
Belasco, Eric J. [1 ]
Ghosh, Sujit K. [2 ]
Goodwin, Barry K. [3 ]
机构
[1] Texas Tech Univ, Dept Agr & Appl Econ, Lubbock, TX 79409 USA
[2] N Carolina State Univ, Dept Stat, Raleigh, NC 27695 USA
[3] N Carolina State Univ, Dept Agr & Resource Econ, Raleigh, NC 27695 USA
关键词
heteroskedastic multivariate Tobit; livestock yields; production risk; DEPENDENT-VARIABLES; TOBIT ANALYSIS; PERFORMANCE; MODELS;
D O I
10.1111/j.1467-8276.2008.01244.x
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
The purpose of this paper is to evaluate production risks faced by fed cattle producers. We do this by jointly modeling a group of cattle production yield risk factors using a multivariate dynamic regression model. The proposed econometric model estimates parameters that influence the mean and variance of production yield factors, as well as the covariance between variables, while accounting for a high degree of censoring through the use of a dynamic multivariate Tobit model. The model provides insights into the relationship between production yield factors in fed cattle production.
引用
收藏
页码:431 / 443
页数:13
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