A Variance Bounds Test of the Linear Quardractic Inventory Model
This paper develops and applies a novel test of the Holt, et al.(1961) 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 parameters of the model. The model may be tested by seeing whether this sum in fact is nonnegative. When the test is applied to some non-durables data aggregated to the two-digit SIC code level, it almost always rejects the model, even though the model does well by traditional criteria.
|Date of creation:||Mar 1985|
|Publication status:||published as West, Kenneth D. "A Variance Bounds Test of the Linear Quadratic Inventory Model," Journal of Political Economy, Vol. 94, No. 2, pp. 374-401, April 1986.|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
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- West, Kenneth D., 1983. "A note on the econometric use of constant dollar inventory series," Economics Letters, Elsevier, vol. 13(4), pages 337-341.
- Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-1286, September. Full references (including those not matched with items on IDEAS)
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