
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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