Generating Spatial Time Series on Interstate Commodity Flows

Kieran Donaghy, Arash Beheshtian, Ziye Zhang and Benjamin Brown-Steiner
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Kieran Donaghy: Cornell University
Arash Beheshtian: Altum Group Advisors
Ziye Zhang: Princeton University

Chapter Chapter 3 in The Co-evolution of Commodity Flows, Economic Geography, and Emissions, 2021, pp 25-46 from Springer

Abstract: Abstract This chapter presents and demonstrates a methodology for generating spatial time series on interregional (interstate) inter-industry sales (or commodity flows). The methodology embodies an approach to benchmarking and estimating a dynamic multiregional econometric input–output model (or REIM) with annual data, backing out annual interregional inter-industry sales coefficients from the estimated model, and using the coefficients to generate annual observations on commodity flows. The application of this methodology is demonstrated with a REIM that has been estimated for 13 Midwestern, New England, and North Atlantic states and the rest of the United States and 13 industries using time-series data published by the US Bureau of Economic Analysis and the US Bureau of Labor Statistics. The chapter concludes with brief observations on patterns of change in interregional inter-industry commodity flows and sales coefficients.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-030-78555-0_3

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DOI: 10.1007/978-3-030-78555-0_3

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