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Data Handling Restrictions On Large Scale Agricultural Models

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  • Sluczanowski, Philip W.R.

Abstract

In a large-scale agricultural model a sizeable amount of low level data undergoes several stages of processing. In designing a model, uncertainty and complexity will restrict the generality of computer-implemented stages and much of the processing will be manual. The resulting model is likely to be inflexible to changes or else require as long again to modify and rerun as to design another model in order to evaluate another policy. By recognizing the necessary constraints imposed by mass data handling, the proportion of time spent on data problems could be reduced. Emphasis should be placed on defining beforehand as explicity as possible an acceptable methodology and what the specific uses of the model will be.

Suggested Citation

  • Sluczanowski, Philip W.R., 1976. "Data Handling Restrictions On Large Scale Agricultural Models," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 44(04), pages 1-13, December.
    • Handle: RePEc:ags:remaae:9171
    DOI: 10.22004/ag.econ.9171
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    References listed on IDEAS

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    1. Sharples, Jerry A, 1969. "The Representative Farm Approach to Estimation of Supply Response," American Economic Review, American Economic Association, vol. 59(2), pages 168-174, May.
    2. Jerry A. Sharples & W. Neill Schaller, 1968. "Predicting Short-Run Aggregate Adjustment to Policy Alternatives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 50(5), pages 1523-1536.
    3. Jerry A. Sharples, 1969. "The Representative Farm Approach to Estimation of Supply Response," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(2), pages 353-361.
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