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Recovering The Item-Level Edit And Imputation Flags In The 1977-1997 Censuses Of Manufactures

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  • T. Kirk White

Abstract

As part of processing the Census of Manufactures, the Census Bureau edits some data items and imputes for missing data and some data that is deemed erroneous. Until recently it was difficult for researchers using the plant-level microdata to determine which data items were changed or imputed during the editing and imputation process, because the edit/imputation processing flags were not available to researchers. This paper describes the process of reconstructing the edit/imputation flags for variables in the 1977, 1982, 1987, 1992, and 1997 Censuses of Manufactures using recently recovered Census Bureau files. Thepaper also reports summary statistics for the percentage of cases that are imputed for key variables. Excluding plants with fewer than 5 employees, imputation rates for several key variables range from 8% to 54% for the manufacturing sector as a whole, and from 1% to 72% at the 2-digit SIC industry level.

Suggested Citation

  • T. Kirk White, 2014. "Recovering The Item-Level Edit And Imputation Flags In The 1977-1997 Censuses Of Manufactures," Working Papers 14-37, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:14-37
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    File URL: https://www2.census.gov/ces/wp/2014/CES-WP-14-37.pdf
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    References listed on IDEAS

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    1. Randy Becker & Cheryl Grim, 2011. "Newly Recovered Microdata on U.S. Manufacturing Plants from the 1950s and 1960s: Some Early Glimpses," Working Papers 11-29, Center for Economic Studies, U.S. Census Bureau.
    2. Lucia Foster & John Haltiwanger & Chad Syverson, 2008. "Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability?," American Economic Review, American Economic Association, vol. 98(1), pages 394-425, March.
    3. T. Kirk White & Jerome P. Reiter & Amil Petrin, 2012. "Plant-level Productivity and Imputation of Missing Data in U.S. Census Manufacturing Data," NBER Working Papers 17816, National Bureau of Economic Research, Inc.
    4. Roberts, Mark J. & Supina, Dylan, 1996. "Output price, markups, and producer size," European Economic Review, Elsevier, vol. 40(3-5), pages 909-921, April.
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    Cited by:

    1. T. Kirk White & Jerome P. Reiter & Amil Petrin, 2018. "Imputation in U.S. Manufacturing Data and Its Implications for Productivity Dispersion," The Review of Economics and Statistics, MIT Press, vol. 100(3), pages 502-509, July.
    2. Matthias Kehrig & Nicolas Vincent, 2021. "The Micro-Level Anatomy of the Labor Share Decline," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(2), pages 1031-1087.
    3. Chen Yeh, 2017. "Are firm-level idiosyncratic shocks important for U.S. aggregate volatility?," Working Papers 17-23, Center for Economic Studies, U.S. Census Bureau.
    4. Ildikó Magyari, 2017. "Firm Reorganization, Chinese Imports, and US Manufacturing Employment," Working Papers 17-58, Center for Economic Studies, U.S. Census Bureau.
    5. Gene M. Grossman & Elhanan Helpman & Ezra Oberfield & Thomas Sampson, 2017. "The Productivity Slowdown and the Declining Labor Share: A Neoclassical Exploration," NBER Working Papers 23853, National Bureau of Economic Research, Inc.
    6. Melissa C. Chow & Teresa C. Fort & Christopher Goetz & Nathan Goldschlag & James Lawrence & Elisabeth Ruth Perlman & Martha Stinson & T. Kirk White, 2021. "Redesigning the Longitudinal Business Database," NBER Working Papers 28839, National Bureau of Economic Research, Inc.
    7. Chen Yeh, 2016. "Are firm-level idiosyncratic shocks important for U.S. aggregate volatility?," Working Papers 16-47, Center for Economic Studies, U.S. Census Bureau.

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