Methodology

Clarity. Discipline. Accountability.

Penn and Associates applies a suite of modeling frameworks to estimate economic impact with precision and transparency. Each tool is selected based on the client’s goals, available data, and the complexity of the economic relationships involved.

What We Use—and Why

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.

Penn CGE Model

A custom-built computable general equilibrium model that simulates how changes ripple through an economy—capturing sector interactions, price shifts, and resource constraints. Best used for complex, multi-sector analyses where policy or investment affects supply chains, labor markets, or regional dynamics. Inputs and assumptions are adjusted to reflect local conditions. Every Economic Impact Report includes clear explanations of methods, assumptions, and limitations. When applicable, statistically valid survey data grounds estimates in real-world behavior.

RIMS II

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. Best used for straightforward impact estimates for local spending, tourism, or construction projects.

SAM (Social Accounting Matrix)

A data-rich framework that expands input-output modeling to include households, government, and institutions—offering a fuller picture of economic flows. Best used for projects where income distribution, household behavior, or public transfers are relevant.

TTSA (Tourism & Travel Satellite Account)

A specialized framework that isolates tourism’s contribution to the economy by tracking visitor spending across sectors. Best used for tourism impact studies that require alignment with international standards or cross-sector analysis.

Survey & Feedback Integration

Penn and Associates incorporates structured feedback, field observations, and targeted respondent input when projects require insight into real-world behavior or public-facing conditions. In today’s research landscape—where large-scale probability sampling is increasingly impractical—we use disciplined screening, verification, and benchmarking techniques to ensure that qualitative and small-sample inputs are reliable and contextually meaningful.

Survey-derived insights are used to complement, not replace, model-based estimates. They help clarify motivations, barriers, and on-the-ground experiences that enrich operational evaluations and strategic planning.

Operational Evaluation & Division‑Level Reporting

Penn and Associates applies structured operational evaluation methods to help public‑sector agencies understand service delivery, accessibility, and on‑the‑ground performance. Our Division‑level reporting integrates field observations, patron feedback, and standardized rating frameworks to assess conditions such as event‑area quality, waste disposal, maintenance responsiveness, and public‑facing interactions.

This approach provides agencies with actionable operational clarity—supporting strategic planning, resource allocation, and improvements in public engagement across multiple jurisdictions.

Scientific Rigor in a Changing Research Landscape

The research industry has shifted toward mixed‑method, non‑probability data collection. Penn and Associates maintains a clear distinction between inferential and non‑inferential inputs. When structured feedback or panel data is used, we apply verification protocols, benchmarking, and disciplined interpretation to ensure that insights are reliable, transparent, and appropriately scoped.

Our commitment is to methodological clarity, transparent documentation, and defensible reporting—ensuring that every conclusion we draw is grounded in disciplined analysis.

Principled Approach

Our methodology is not just technical — it is anchored in clarity, discipline, and accountability. Every framework we apply is documented, every assumption is explained, and every output is defensible. This principled approach ensures that our clients receive insights they can trust, communicate, and act upon with confidence.