Abstract
AbstractFederal administrative data present a valuable opportunity for food and agricultural industry locational outcome research. We review issues with aggregated U.S. public data and summarize current methods. An example empirical approach combines federal administrative and secondary data. We compare results with differing levels of industrial aggregation. Results indicate locational determinants vary in magnitude, sign, and significance across industries and their sub-industries, as well as between employers and non-employers – nuances commonly missed with public data. We conclude by emphasizing that studies relying on public (more-aggregated) data may miss locational outcome relationships or inappropriately generalize to sub-industries and suggest data access changes.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
