Watson, P., Lowry, M., & Khan, F. (2023). Estimating County to County Trade Flow (Report No. 2020-S-UI-1). Pacific Northwest Transportation Consortium (PacTrans) (UTC). https://rosap.ntl.bts.gov/view/dot/73099
Watson, Philip, Mike Lowry, and Fauwial Khan. Estimating County to County Trade Flow. Report no. 2020-S-UI-1. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2023. https://rosap.ntl.bts.gov/view/dot/73099.
Watson, Philip, et al. Estimating County to County Trade Flow. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2023, Report no. 2020-S-UI-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/73099.
Estimating count to county commodity trade flows is important for understanding a multitude of transportation, regional planning, and economic problems. While no primary data track intranational trade flows, gravity models have often been used to estimate these flows. However, to properly specify a gravity model, data on total commodity supply and total commodity demand for a consistent set of commodities and for every county must be obtained. Because these data are not available through primary data sources, a systematic process for estimating these values must be generated. This report details a process for starting with primary government data, specifically the quarterly census of employment and wages (QCEW) and national input-output accounts from the US Bureau of Economic Analysis (BEA), and generating employment, output, and commodity supplies and demands across 409 commodities in 3,142 counties. These commodity supplies and demands are then used in a gravity model to estimate bilateral trade for each commodity between every county in the United States. Employment, commodity trade data, and county to county trade totals are available at: https://tapestry.nkn.uidaho.edu/
Estimating count to county commodity trade flows is important for understanding a multitude of transportation, regional planning, and economic problem
...
Estimating count to county commodity trade flows is important for understanding a multitude of transportation, regional planning, and economic problem
...
Watson, P., Lowry, M., & Khan, F. (2023). Estimating County to County Trade Flow (Report No. 2020-S-UI-1). Pacific Northwest Transportation Consortium (PacTrans) (UTC). https://rosap.ntl.bts.gov/view/dot/73099
Watson, Philip, Mike Lowry, and Fauwial Khan. Estimating County to County Trade Flow. Report no. 2020-S-UI-1. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2023. https://rosap.ntl.bts.gov/view/dot/73099.
Watson, Philip, et al. Estimating County to County Trade Flow. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2023, Report no. 2020-S-UI-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/73099.
ROSA P serves as an archival repository of USDOT-published products including scientific
findings, journal articles, guidelines, recommendations, or other information authored or co-authored by
USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to
ensure public access to scientific information.
Links with this icon indicate that you are leaving a Bureau of Transportation
Statistics (BTS)/National Transportation Library (NTL)
Web-based service.
Thank you for visiting.
You are about to access a non-government link outside of
the U.S. Department of Transportation's National
Transportation Library.
Please note: While links to Web sites outside of DOT are
offered for your convenience, when you exit DOT Web sites,
Federal privacy policy and Section 508 of the Rehabilitation
Act (accessibility requirements) no longer apply. In
addition, DOT does not attest to the accuracy, relevance,
timeliness or completeness of information provided by linked
sites. Linking to a Web site does not constitute an
endorsement by DOT of the sponsors of the site or the
products presented on the site. For more information, please
view DOT's Web site linking policy.
To get back to the page you were previously viewing, click
your Cancel button.