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A Re-interpretation of the Linear-Quadratic Model When Inventories and Sales are Polynomially Cointegrated Author info | Abstract | Publisher info | Download info | Related research | Statistics Anindya BANERJEE
Paul MIZEN
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Estimation of the linear quadratic model, the workhorse of the inventory literature, traditionally takes inventories and sales to be first-difference stationary series, and the ratio of the two to be stationary. However, these assumptions do not match the properties of the data for the last two decades in the US and the UK. We offer a model that allows for the non-stationary characteristics of the data, using polynomial cointegration. We show that the closed-form solution has other recent models as special cases. The resulting model performs well and shows good forecasting properties.
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Paper provided by European University Institute in its series Economics Working Papers with number
ECO2003/11.
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Date of creation: 2003Date of revision:
Handle: RePEc:eui:euiwps:eco2003/11Contact details of provider: Postal: Badia Fiesolana, Via dei Roccettini, 9, 50016 San Domenico di Fiesole (FI) Italy Phone: +39-055-4685.982 Fax: +39-055-4685.902 Web page: http://www.eui.eu/ECO/ More information through EDIRC
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Keywords: cointegration linear quadratic inventories Other versions of this item:
Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis
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