Determining Returns to Storage: Does Data Aggregation Matter?

Author:

Klumpp Joni M.,Brorsen B. Wade,Anderson Kim B.

Abstract

Aggregate data are commonly used to determine returns to storage. However, recent studies have shown that aggregating data may lead to underestimated returns. This article compares aggregate and elevator data from Oklahoma to determine if aggregate data underestimate returns. We find no difference between the mean returns estimated with aggregate data and the mean returns estimated with transaction level data from grain elevators in Oklahoma.

Publisher

Cambridge University Press (CUP)

Subject

Economics and Econometrics,Agricultural and Biological Sciences (miscellaneous)

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Commodity Storage under Backwardation: Does the Working Curve Still Work?;Applied Economic Perspectives and Policy;2015-04-15

2. Factors influencing economic profitability of sampling-based integrated pest management of wheat in country elevators;Journal of Stored Products Research;2010-07

3. Profit Margin Hedging;American Journal of Agricultural Economics;2010-01-28

4. The Marketing Performance of Illinois and Kansas Wheat Farmers;Journal of Agricultural and Applied Economics;2009-04

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