Economic impact analysis doesn't have to feel like navigating a labyrinth of spreadsheets and formulas. Whether you're evaluating the ripple effects of a new infrastructure project or assessing the economic consequences of policy changes, the right analytical approach can transform overwhelming data into compelling insights that drive informed decision-making.
Picture this: A policy researcher sits down Monday morning with datasets from multiple sources—employment statistics, GDP figures, industry surveys, and demographic data. By Wednesday, they need a comprehensive impact assessment ready for stakeholders. With traditional tools, this scenario often means late nights wrestling with complex formulas and manual calculations. But what if there was a better way?
Everything you need to conduct thorough economic impact assessments
Automatically calculate direct, indirect, and induced economic effects with built-in multiplier models that adapt to different sectors and regions.
Create sophisticated input-output models to trace economic flows across industries and understand interconnected market relationships.
Analyze job creation and displacement effects with detailed workforce impact calculations across different skill levels and sectors.
Project changes in federal, state, and local tax revenues with comprehensive fiscal impact modeling capabilities.
Perform detailed cost-benefit analysis with NPV calculations, sensitivity testing, and risk assessment frameworks.
Build multiple economic scenarios to test different assumptions and policy alternatives with dynamic parameter adjustment.
See how economists and policy analysts use these tools across different contexts
A metropolitan planning authority needs to assess the economic impact of a proposed light rail system. Using integrated economic models, they evaluate construction employment, long-term accessibility benefits, property value changes, and regional connectivity improvements to present a comprehensive case to city council.
A state economic development agency must analyze the potential effects of proposed tax incentives for renewable energy companies. They model job creation, tax revenue impacts, supply chain effects, and competitive positioning to provide legislators with data-driven recommendations.
An economic consulting firm evaluates the impact of a major manufacturing facility closure on a small city. They analyze direct job losses, supplier network effects, local spending patterns, and population migration to help community leaders develop targeted recovery strategies.
A regional tourism board wants to quantify the economic value of a annual festival series. They track visitor spending, hotel occupancy rates, restaurant revenues, and seasonal employment to demonstrate the event's contribution to the local economy.
A government trade office analyzes the potential economic effects of a new bilateral trade agreement. They model changes in export volumes, import competition, industry competitiveness, and employment across different sectors to inform negotiation strategies.
A state university system wants to demonstrate its economic contribution to justify budget allocations. They calculate direct spending effects, student and visitor expenditures, research commercialization impacts, and workforce development benefits across multiple campuses.
A systematic approach to measuring economic effects
Import economic data from multiple sources including BEA statistics, employment databases, tax records, and industry surveys. Clean and standardize datasets to ensure consistency across all analytical components.
Establish current economic conditions using regional input-output models, employment patterns, and economic flows. Create a comprehensive baseline that captures existing economic relationships and dependencies.
Define specific economic changes or interventions to be analyzed. Set parameters for direct effects, timeline assumptions, and scope of analysis to ensure comprehensive coverage of potential impacts.
Apply appropriate economic multipliers to calculate indirect and induced effects. Use sector-specific multipliers that reflect local economic conditions and inter-industry relationships for accurate projections.
Review calculated impacts for reasonableness and consistency. Perform sensitivity analysis to test key assumptions and validate results against comparable studies or historical precedents.
Create comprehensive reports with clear visualizations of economic impacts. Present findings in formats suitable for different audiences, from technical experts to policy makers and community stakeholders.
Let's walk through some practical examples that illustrate how economic impact analysis transforms raw data into actionable insights.
A city planning department wants to evaluate the economic impact of establishing a technology innovation district. The project involves:
Using economic multipliers specific to the technology sector and local economy, the analysis projects a total economic impact of $127 million annually, supporting an additional 340 indirect and induced jobs throughout the region.
An economic development agency must assess the impact of a major automotive parts manufacturer closing its local facility. The analysis examines:
The comprehensive impact assessment reveals a total economic loss of $89 million annually, affecting approximately 1,200 additional jobs indirectly. This analysis helps community leaders prioritize economic diversification strategies and targeted support programs.
A metropolitan authority evaluates the economic impact of building a new sports complex and convention center. The analysis includes:
The economic impact model shows $45 million in annual economic activity once operational, supporting 380 total jobs across various sectors. However, the analysis also considers displacement effects and opportunity costs to provide a balanced assessment.
Direct impacts are the immediate effects of an economic change, like jobs created by a new facility. Indirect impacts occur through supply chain relationships—suppliers and contractors supporting the facility. Induced impacts result from increased consumer spending by workers earning wages from direct and indirect activities, creating a ripple effect throughout the local economy.
Economic multipliers should reflect local economic conditions and the specific industry being analyzed. Use regional input-output models like IMPLAN or RIMS II that account for local supply chains, leakage effects, and economic structure. Manufacturing typically has higher multipliers than service sectors due to more extensive supply chain relationships.
Key data sources include Bureau of Economic Analysis regional accounts, Bureau of Labor Statistics employment data, Census Bureau demographic information, local tax records, and industry-specific surveys. Primary data collection through interviews and surveys may be necessary for project-specific information not available in public datasets.
Use scenario analysis to test different assumptions about key variables like employment levels, wage rates, and spending patterns. Conduct sensitivity analysis on critical multipliers and parameters. Present results as ranges rather than single point estimates, and clearly document assumptions and limitations in your methodology.
Always consider displacement when analyzing competitive industries or limited markets. For example, a new retail development may capture sales from existing stores rather than creating entirely new economic activity. Displacement is particularly important for entertainment venues, retail facilities, and services where total market demand is relatively fixed.
Compare results to similar studies in comparable regions and industries. Check that multipliers and ratios align with established economic relationships. Review results for reasonableness—extremely high or low impacts may indicate methodological issues. Use historical data to back-test models where possible.
While economic impact analysis measures total economic activity, cost-benefit analysis evaluates whether benefits justify costs from a societal perspective. Impact analysis shows 'how much' economic activity occurs; cost-benefit analysis determines if it's economically efficient. Both perspectives are valuable for comprehensive policy evaluation.
Tailor presentations to audience needs: policymakers want bottom-line impacts and fiscal effects, business leaders focus on market opportunities and competitive implications, community groups care about jobs and local benefits. Use clear visualizations, avoid technical jargon, and provide context for understanding the magnitude of impacts.
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.