Estimating County to County Trade Flow

Watson, Philip; Lowry, Mike; Khan, Fauwial; University of Idaho; Pacific Northwest Transportation Consortium (PacTrans) (UTC); University of Washington. University Transportation Center for Region 10

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Estimating County to County Trade Flow

2023-06-01
Datasets Available
By Watson, Philip ; Lowry, Mike ; Khan, Fauwial

[PDF-1011.76 KB]

English

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Creators:

Watson, Philip ; Lowry, Mike ; Khan, Fauwial

Watson, Philip ; Lowry, Mike ; Khan, Fauwial Less -
Corporate Creators:

University of Idaho ; Pacific Northwest Transportation Consortium (PacTrans) (UTC) ; University of Washington. University Transportation Center for Region 10

University of Idaho ; Pacific Northwest Transportation Consortium (PacTrans) (UTC) ; University of Washington. University Transportation Center for Region 10 Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Commodity Flow Counties Data Economic Models Estimates Input Output Models Trade
Publication/ Report Number:

2020-S-UI-1
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

Pacific Northwest Transportation Consortium (PacTrans) (UTC)
Abstract:

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/
Format:

PDF
Funding:

69A3551747110
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:79d91f67912eb35d6b75fcd24d72b8e869c07a9af5d185ad6866fb316171ac61
Download URL:

https://rosap.ntl.bts.gov/view/dot/73099/dot_73099_DS1.pdf
File Type:

No Additional Files

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Estimating County to County Trade Flow

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