A Variance Bounds Test of the Linear Quadratic Inventory Model
提出并应用了一种检验Holt等人线性二次库存模型的新方法，通过检查生产、销售和库存的加权方差和协方差是否非负来检验模型，并利用非耐用品数据发现模型几乎总被拒绝。
This paper develops and applies a novel test of the Holt et al. linear quadratic inventory model. It is shown that a central property of the model is that a certain weighted sum of variances and covariances of production, sales, and inventories must be nonnegative. The weights are the basic structural parametersof the model. The model may be tested by seeing whether this sum is in fact nonnegative. When the test is applied to some nondurables data aggregated to the two-digit SIC code level, it almost always rejects the model, even though the model does well by traditional criteria.