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.
- Top-down versus Bottom-up modeling
- County representation
- Congressional districts
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An international example of sub-national representation has been developed for GTAP. See http://www.copsmodels.com/archivep.htm TPMH0100. Accessed 28 Jan 2017.
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.
See http://www2.census.gov/acs2011_1yr/CD113/. Accessed 27 Jan 2017.
See http://www.imf.org/external/country/index.htm. Accessed 27 Jan 2017.
Indeed, carma.org data provide latitude and longitude coordinates for power generating plants that can be matched to either counties or congressional districts.
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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