Estimating a Demand System with Seasonally Differenced Data
Andrew Muhammad () and
John D. Anderson
Journal of Agricultural and Applied Economics, 2010, vol. 42, issue 2
Several recent papers have used annual changes and monthly data to estimate demand systems. Such use of overlapping data introduces a moving average error term. This paper shows how to obtain consistent and asymptotically efficient estimates of a demand system using seasonally differenced data. Monte Carlo simulations and an empirical application to the estimation of the U.S. meat demand are used to compare the proposed estimator with alternative estimators. Once the correct estimator is used, there is no advantage to using overlapping data in estimating a demand system.
Keywords: Agribusiness; Demand and Price Analysis; Financial Economics; Research Methods/ Statistical Methods (search for similar items in EconPapers)
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Journal Article: Estimating a Demand System with Seasonally Differenced Data (2010)
Working Paper: Estimating a Demand System with Seasonally Differenced Data (2008)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:joaaec:90679
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