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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)

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    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.

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    Bibliographic Info

    Paper provided by Bureau of Economic Analysis in its series BEA Papers with number 0030.

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    Date of creation: 2003
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    Handle: RePEc:bea:papers:0030

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    1. Landefeld, J Steven & McCulla, Stephanie H, 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. 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 349-63, 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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