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COMBINING LINEAR PROGRAMMING RESULTS AND TIME SERIES DATA FOR PREDICTION OF SUPPLY: TWO APPROACHES

C. Richard Shumway and Hovav Talpaz

No 283934, 1976 Annual Meeting, August 15-18, State College, Pennsylvania from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: Because of the lack of any empirical reference with which to compare predictions, validation of long run linear programming models is extremely difficult. This paper reports two procedures for combining time series data with results from a long run linear programming supply model in order to make verifiable short run predictions.

Keywords: Research; and; Development/Tech; Change/Emerging; Technologies (search for similar items in EconPapers)
Pages: 20
Date: 1976-08
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea76:283934

DOI: 10.22004/ag.econ.283934

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