Economic Contribution
Understand the economic footprint of companies, associations, universities, nonprofits, and industries using spending, payroll, employment, revenue, or a combination of inputs.
Model economic contribution, employment, payroll, investments, and site selection across the United States, states, and counties through a modern, guided workflow.
Built by an economist. Designed for decision-makers.
RIPL is designed for practical analysis β from organizational footprint studies to investment comparisons and site selection decisions.
Understand the economic footprint of companies, associations, universities, nonprofits, and industries using spending, payroll, employment, revenue, or a combination of inputs.
Compare economic outcomes across states and regions to support investment and location decisions.
Quantify the economic effects of capital projects, infrastructure investments, and development initiatives.
Spending creates a chain reaction.
Economic impact analysis follows the path from initial spending to supplier activity, worker income, household spending, and additional economic activity.
The result is a clear summary of total gross output, GDP, labor income, and jobs supported by that activity.
The activity being analyzedβsuch as company spending, revenue, payroll, employment, capital investment, or operating expenses. Employment can remain a direct jobs input or serve as a proxy for industry sales/output.
Supply-chain activity supported when vendors and suppliers purchase goods and services to meet demand.
Household spending supported when workers spend income on housing, restaurants, healthcare, retail, and services.
RIPL summarizes economic activity using metrics that are commonly used in executive reports, public presentations, and stakeholder communications.
The total value of economic activity supported, including sales and business revenue across directly and indirectly affected industries.
The value added to the economy after excluding intermediate purchases. This is often the cleanest measure of economic contribution.
The employment supported by the activity. For multi-year studies, RIPL reports jobs as an annual average rather than a cumulative job-year total.
The compensation supported by the activity, including wages, salaries, and employer-paid benefits associated with supported jobs.
RIPL connects spending, employment, payroll, revenue, and investment activity to the broader economic channels they support, then summarizes those effects in decision-ready metrics.
The goal is to make the mechanics of economic impact analysis easier to understand, easier to explain, and easier to communicate.
Economic impact analysis follows the path from direct spending to supplier activity, worker income, household spending, and additional economic activity.
RIPL supports multiple input methods in one analysis and shows users how assumptions are translated before the model runs.
Enter direct employment by industry and location, or use employment as a proxy for sales/output with an industry- and region-specific estimate shown for approval. Add payroll to capture wage-supported household spending.
Combine vendor purchases, industry spending, revenue or total activity, operating expenses, capital spending, and annual schedules in the same project.
Explore national, state, and county impacts; direct, indirect, and induced effects; industries, occupations, wages, GDP, output, jobs, taxes, comparisons, trends, and exportable reports.
A good analysis is clear about whether it measures an existing footprint or the effect of a new change.
Measures the economic footprint of existing activity.
Useful for companies, universities, hospitals, nonprofits, trade associations, and industries communicating their role in a regional economy.
Measures the effect of a change, project, investment, or event.
Useful for site selection, facility expansions, infrastructure projects, capital investments, events, and policy scenarios.
RIPL uses a multiregional input-output framework to trace direct activity through supplier relationships and wage-supported household spending. Users can model national, state, or county activity from spending, revenue, payroll, employment, capital investment, and operating expenses. Employment may be entered as direct jobs or converted to an industry- and region-specific output estimate for user approval.
The model applies industry relationships, employment and wage ratios, value-added ratios, and occupation staffing patterns to estimate output, GDP, labor income, jobs, occupations, and fiscal effects. Results are model-based estimates intended to support planning, comparison, communication, and decision-making.
RIPL helps translate operational data into economic metrics that executives, boards, public agencies, and stakeholders can understand.
RIPL is currently accepting beta users. Request early access to explore economic contribution studies, site selection analysis, and investment impact assessment through a guided workflow.