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Cross-Hauling and Nonsurvey Input—Output Models: Some Lessons from Small-Area Timber Economies

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  • M H Robison

    (Department of Forest Resources, University of Idaho, Moscow, ID 83843, USA)

  • J R Miller

    (Department of Economics, University of Utah, Salt Lake City, UT 84112, USA)

Abstract

Nonsurvey input—output models, especially those constructed by means of pool and quotient techniques, are suspect when applied to the case of cross-hauling. This is well known. But the US Department of Agriculture (USDA) Forest Service, through its IMPLAN model, and the US Department of Commerce (USDC), through its RIMSII model, encourage the application of pool and quotient nonsurvey models in cases where cross-hauling is likely to occur. In a study of the timber economy of the West-central Idaho Highlands we show the error caused by ignoring cross-hauling in estimates of logger—sawmill trade. We argue that pool and quotient techniques, used in nonsurvey models such as IMPLAN and RIMSII, should not be applied to a single county situation, or to any aggregation of counties that is not, in some sense, a functional economic area. This applies in many cases to full state models. We close by noting that in many applications of pool and quotient nonsurvey input—output methods, technique may be substituting for thought.

Suggested Citation

  • M H Robison & J R Miller, 1988. "Cross-Hauling and Nonsurvey Input—Output Models: Some Lessons from Small-Area Timber Economies," Environment and Planning A, , vol. 20(11), pages 1523-1530, November.
  • Handle: RePEc:sae:envira:v:20:y:1988:i:11:p:1523-1530
    DOI: 10.1068/a201523
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    References listed on IDEAS

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    1. Karl A. Fox & T. Krishna Kumar, 1965. "The Functional Economic Area: Delineation And Implications For Economic Analysis And Policy," Papers in Regional Science, Wiley Blackwell, vol. 15(1), pages 57-85, January.
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    Cited by:

    1. Anthony T. Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2016. "Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba, Argentina," Economic Systems Research, Taylor & Francis Journals, vol. 28(1), pages 21-37, March.
    2. Kristinn Hermannsson, 2016. "Beyond Intermediates: The Role of Consumption and Commuting in the Construction of Local Input–Output Tables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(3), pages 315-339, July.
    3. Tony Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2015. "Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of C¨®rdoba, Argentina," Working Papers 20151508, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    4. Kala Seetharam Sridhar, 2017. "Economic Change And Specialization In India'S Cities," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 29(1), pages 63-87, March.

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