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A Computational Routine for Disaggregating Industry Margin Data to Estimate Product Margin Rates

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  • Matthew D. Atkinson

    (Bureau of Economic Analysis)

Abstract

Retail industry product margin rates are used to estimate the retail output proportion of final consumption commodities. The Census Bureau collects data on industry margin rates, but it does not collect product margin rate data. To estimate retail industry-by-commodity output, industry margin rates are disaggregated by product. A number of controls are available for disaggregating industry data. This paper introduces a formal computational method for disaggregating industry margin data using Bayesian statistics and simulation. The routine is capable of accurately imposing multiple controls simultaneously. The method's accuracy is demonstrated by an evaluation of its industry product margin rate estimates. In addition to producing accurate disaggregate estimates, the method is fast and its estimates are replicable. The computational method has a broad range of applications beyond the estimation of industry-by-product margin rates.

Suggested Citation

  • Matthew D. Atkinson, 2003. "A Computational Routine for Disaggregating Industry Margin Data to Estimate Product Margin Rates," BEA Papers 0030, Bureau of Economic Analysis.
    • Handle: RePEc:bea:papers:0030
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    References listed on IDEAS

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    1. J. Steven Landefeld & Stephanie H. McCulla, 2000. "Accounting For Nonmarket Household Production Within A National Accounts Framework," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(3), pages 289-307, September.
    2. John W. Kendrick, 1979. "Expanding Imputed Values In The National Income And Product Accounts," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 25(4), pages 349-363, December.
    3. Kendrick, John W, 1979. "Expanding Imputed Values in the National Income and Product Accounts," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 25(4), pages 349-363, December.
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    Cited by:

    1. Anne Winkler & Thomas Ireland, 2009. "Time Spent in Household Management: Evidence and Implications," Journal of Family and Economic Issues, Springer, vol. 30(3), pages 293-304, September.

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    More about this item

    JEL classification:

    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General

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