Abstract
The TERM implementation of a multi-regional model enables users to run with more sectors and regions than earlier multi-regional CGE models. But a trait of multi-regional modeling is that there is always interest in regions smaller than those captured by the model. In addition, in policy debates, political regions are of interest. A top-down representation, which takes simulation results and distributes outcomes to small regions based on industry activity shares, provides a way of representing county level or congressional district outcomes in USAGE-TERM. From top-down data, it is possible to devise a bottom-up master database for more regions than the standard USAGE-TERM database.
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Notes
- 1.
An international example of sub-national representation has been developed for GTAP. See http://www.copsmodels.com/archivep.htm TPMH0100. Accessed 28 Jan 2017.
- 2.
The broad sector totals may be superior in district data than county data, but the latter’s advantage concerns the composition at the disaggregated sector level.
- 3.
See http://www2.census.gov/acs2011_1yr/CD113/. Accessed 27 Jan 2017.
- 4.
See http://www.imf.org/external/country/index.htm. Accessed 27 Jan 2017.
- 5.
Indeed, carma.org data provide latitude and longitude coordinates for power generating plants that can be matched to either counties or congressional districts.
- 6.
The link https://www.census.gov/econ/cbp/download/ contains the relevant data. The link http://www2.census.gov/geo/relfiles/cdsld13/natl/natl_zccd_delim.txt provides a mapping from zip codes to congressional districts (accessed 5 September 2014).
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Horridge, M., Wittwer, G. (2017). Top-Down Extensions to Represent Counties and Congressional Districts and Moving to Bottom-Up. In: Wittwer, G. (eds) Multi-regional Dynamic General Equilibrium Modeling of the U.S. Economy. Advances in Applied General Equilibrium Modeling. Springer, Cham. https://doi.org/10.1007/978-3-319-58866-7_10
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