
Transparent Tools. Defensible Insights.
Penn and Associates applies a suite of modeling frameworks to 
estimate economic impact with precision and clarity. Each tool is 
selected based on the client’s goals, available data, and the complexity 
of the economic relationships involved. We prioritize 
transparency—every model we use is documented, auditable, and 
tailored to reflect local realities.
What We Use—and Why
Penn CGE Model is a custom-built computable general equilibrium 
model that simulates how changes ripple through an 
economy—capturing sector interactions, price shifts, and resource 
constraints. It is best used for complex, multi-sector analyses where 
policy or investment affects supply chains, labor markets, or regional 
dynamics. We adjust inputs and assumptions to reflect local conditions. 
Every Economic Impact Report we provide includes clear explanations 
of methods, assumptions, and limitations. When applicable, we 
incorporate statistically valid survey data to ground estimates in 
real-world behavior.
RIMS II is a widely used input-output model from the U.S. Bureau of 
Economic Analysis. It estimates how spending in one industry affects 
others—based on historical relationships. It is best used for 
straightforward impact estimates for local spending, tourism, or 
construction projects.
SAM (Social Accounting Matrix) is a data-rich framework that expands 
input-output modeling to include households, government, and 
institutions—offering a fuller picture of economic flows. It is best used 
for projects where income distribution, household behavior, or public 
transfers are relevant.
TTSA (Tourism & Travel Satellite Account) is a specialized framework 
that isolates tourism’s contribution to the economy by tracking visitor 
spending across sectors. It is best used for tourism impact studies that 
require alignment with international standards or cross-sector analysis.
Survey Integration in Economic Modeling Penn and Associates 
brings decades of experience in survey design and behavioral analysis 
to economic impact reporting. We use probability-based sampling and 
classical statistical techniques to ensure that survey-derived insights 
are representative, valid, and complementary to model-based 
estimates. Surveys are offered in both Western and non-Western 
languages to ensure cultural relevance and broaden respondent reach. 
This integration humanizes economic narratives and enhances policy 
relevance. 
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