EMSI is pleased to announce the 3.3 release of Analyst 3 (A3). The “beta” tag has been removed from all sections of the tool except for the Input/Output model. While development work on A3 will be an ongoing process as we continue to build in new features, we are no longer considering A3 to be beta software. We will leave the “Feedback” tab in the interface so that you can send us your ideas to improve A3 and report any issues you encounter. Most of the current development on A3 is based upon feedback during the beta phase, so please keep sending your ideas as they truly do drive our efforts.
Key improvements in the 3.3 release:
- New “tool tips” in the Input/Output section of the tool will provide inline help and definitions. Look for these in other sections of the tool in the near future.
- Report exports now include data source citations.
- Significant updates to the SAM model that drives the Input/Output section (see below).
Notes on the Input/Output model “beta” period:
Because it is built on our entirely new Social Accounting Matrix (SAM) model, EMSI has decided to keep the “beta” tag on the Input/Output section for one more release cycle. While the “beta” tag is on, we encourage you to continue scrutinizing Input/Output results prior to publication. If you are planning on using the results for publication or strategic planning decisions and want to have EMSI look them over, please contact your customer service representative and we will be happy to assist you.
A couple of the key upgrades to the Input/Out model that you will find in this current release include:
1. Re-wrote the methodology to better address the ability of small counties to satisfy their own demand.
- Issue: In some instances smaller counties were too dominated by larger counties, especially those that were geographically nearby and thus produced excessive cross-hauling.
- Improvements explained: Previously we used the BEA’s Functional Economic Areas (FEA) to constrain and direct trade flows. We are now using Census’ Commodity Flow Survey (CFS) to constrain flows and allow the flows to define their own economic areas. The survey gives measures like “ton-miles” by product which allows us to produce national averages of trade distances that help calibrate cross-hauling.
2. We are now using different modes of transportation impedance (highway impedance, rail impedance, water impedance, multi-modal transportation impedance, minimum impedance, great circle distance).
- Issue: County proximity is a integral part of how much inter-county trade occurs.
- Improvements explained: We now use different modes of transportation impedance for each industry. These data come from Oak Ridge National Laboratories.
3. We are now pegging GRP to published state GRP numbers.
4. We now do an intelligent removal of small values to speed up the model significantly and decrease cross-hauling.
If you have questions or would like to learn more, please contact us.