Anyone can quote a multiplier.
Fewer can show you where it came from.
The Georgia Input-Output Model builds regional multipliers from published federal data — BEA benchmark accounts, BLS wage records, Census establishment counts — for the state, any county, or any region you draw. Direct, indirect, and induced, with the uncertainty shown on the page.
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Statewide Type II coefficients, —. Your run selects the region and reports an interval with every figure.
Most impact numbers arrive with a multiplier attached and no way to check it. This one traces every coefficient to a published federal source — and shows what it doesn't know.
Three layers, one defensible number.
National accounts describe how industries buy from each other. Regional data describes how much of that buying actually happens here. The model resolves the two into multipliers for the geography you care about.
Define the region
Georgia statewide, any of the 159 counties, or a custom set of counties drawn to match a labor shed rather than a political boundary.
Build the accounts
Benchmark national requirements regionalized on local employment and wages, with cross-hauling adjustment so a county isn't credited with supply it doesn't have.
Return the answer
Output, employment, labor income, and value added — split into direct, indirect, and induced, at Type I and Type II closure, with an interval on each.
Everything a defensible impact study needs.
Built for the analyses economic developers, utilities, and local governments actually run — and for the questions that come after the presentation.
402 BEA industries, not 20 sectors
Model a poultry processor differently from a paper mill differently from a data center. Aggregation hides exactly the differences that matter to the answer.
Custom regions
Any set of counties, not just the ones a vendor pre-built.
Type I and Type II
Report both, so a reader can see exactly what household spending adds.
Every estimate carries an interval
Point estimates imply a precision an input-output model does not have. Results are reported as a range built from source-level variance, so the number you defend is the number the data supports.
Both phases, one scenario
One-time construction spending and ongoing operations modeled together, with the timing kept distinct so a council sees which is which.
Every figure traces to a source
Each coefficient carries its origin — agency, series, and vintage — so a skeptical reader can follow it back to the published table it came from.
Model what isn't there yet
Analyze an industry with no current presence in the region — the case economic developers need most and most tools handle worst.
Board-ready output
Export the full workbook for the record, or a clean one-page summary for the meeting — both carrying the same provenance and ranges.
No black box.
The method is written down, the sources are public, and the assumptions are stated. If a reviewer wants to reproduce a number, they can.
Regionalization
National benchmark requirements are scaled to the region using location quotients built on BLS employment and wage data, with a cross-hauling adjustment so local supply isn't overstated for industries that both import and export.
Closure
Type I leaves households outside the system. Type II closes the household row and column on observed consumption patterns, so induced effects reflect how income is actually spent rather than a fixed national assumption.
Geographic capture of induced spending
Induced effects are assigned by where earners actually live and shop, using commuting flows — so a county that hosts the jobs isn't automatically credited with all of the household spending they generate.
Uncertainty
Source-level variance propagates through to the reported result, so every figure arrives as a range. An input-output model is a structural approximation; the output should say so.
industries
plus custom regions
output · jobs · income · value added
economic practice
Economic impact is one side of a community's ledger.
Tax revenue tells a council what comes in. It doesn't tell them what the project costs to serve. Pair this model's economic ripple with LOCI®'s revenue-and-cost fiscal analysis, and the question stops being "how big is it" and becomes "does it pay for itself, and when."
Economic impact
Jobs, income, value added, output — direct, indirect, induced. Produces the employment and labor-income multipliers a LOCI project profile takes.
Fiscal impact
Thirty years of revenue and cost-of-service modeling on real community budgets — the tool local governments already trust for abatement decisions.
LOCI+
The total picture: what a project adds to the economy and what it does to the community's books.
- 1Run the scenario here. Enter the project once — construction and operations, at the state, county, or custom-region level.
- 2The model emits the multipliers. Employment and labor-income, Type I and Type II, in exactly the form a LOCI project profile accepts.
- 3LOCI computes the fiscal picture. Revenue and cost of services against the community's real budget — net position and breakeven year.
The Georgia Input-Output Model also runs standalone — every capability on this page works without LOCI.
Run the number you'll have to defend.
Open the model and work a scenario end to end — or talk to the economists who built it about what your region actually needs.
Talk to the economists who built it.
Thirty years of economic and fiscal analysis for Georgia communities. Tell us the region and the industry, and we'll show you what the model returns.