IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v99y2017i2p510-523..html

Food and Agricultural Industries: Opportunities for Improving Measurement and Reporting

Author

Listed:
  • Richard A. Dunn
  • Brent Hueth

Abstract

We measure one component of off-farm food and agricultural industries using establishment-level microdata in the federal statistical system. We focus on services for crop production, and compare measures of firm and employment dynamics in this sector during the 1992–2012 time period with county-level publicly available data for the same measures. Based on differences across data sources, we establish new facts regarding the evolution of food and agricultural industries, and demonstrate the value of working with confidential microdata. In addition to the data and results we present, we highlight possibilities for collaboration across universities and federal agencies to improve reporting in other segments of food and agricultural industries.

Suggested Citation

  • Richard A. Dunn & Brent Hueth, 2017. "Food and Agricultural Industries: Opportunities for Improving Measurement and Reporting," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(2), pages 510-523.
    • Handle: RePEc:oup:ajagec:v:99:y:2017:i:2:p:510-523.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ajae/aaw105
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Craig Wesley Carpenter & Anders Van Sandt & Scott Loveridge, 2022. "Measurement error in US regional economic data," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 57-80, January.
    2. Tianyuan Luo & Genti Kostandini & Jeffrey L. Jordan, 2023. "Stringent immigration enforcement and the farm sector: Evidence from E‐Verify adoption across states," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(2), pages 1211-1232, June.
    3. Craig W. Carpenter & Anders Van Sandt & Rebekka Dudensing & Scott Loveridge, 2022. "Profit Pools and Determinants of Potential County-Level Manufacturing Growth," International Regional Science Review, , vol. 45(2), pages 188-224, March.
    4. Babkin, Anton & Dunn, Richard A., 2025. "Vertical Disintegration and the Shifting Boundary of the Farm Business: Implications for Agricultural Productivity and Market Structure," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 361094, Agricultural and Applied Economics Association.
    5. Anton Babkin & Richard A. Dunn & Brent Hueth & Elan Segarra, 2022. "Employment and payroll dynamics in support services for agriculture," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(3), pages 1482-1498, September.
    6. Tianyuan Luo & Genti Kostandini, 2022. "Stringent immigration enforcement and responses of the immigrant‐intensive sector: Evidence from E‐Verify adoption in Arizona," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1411-1434, August.
    7. Ryan A. Decker & Robert J. Kurtzman & Byron F. Lutz & Christopher J. Nekarda, 2021. "Across the Universe: Policy Support for Employment and Revenue in the Pandemic Recession," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 267-271, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • J43 - Labor and Demographic Economics - - Particular Labor Markets - - - Agricultural Labor Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:ajagec:v:99:y:2017:i:2:p:510-523.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.