Initiatives for Cleaner Air

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President Biden signed the inflation reduction act into law in 2022, the United States’ most significant investment in clean energy in the nation’s history. The act encouraged investment into renewable resources and sought to clean pollution that has disproportionately affected various communities. $369 billion in grants are being awarded to organizations to fight climate change, and $25 million is specifically awarded by the EPA under the Clean Air Act (CAA) to combat air pollution.  

This webinar will focus on the clean air initiatives outlined in the inflation reduction act. We will examine how these clean air initiatives have influenced economic growth, job creation, and GDP while also gauging the effectiveness of the investments by assessing environmental outcomes like reduced air pollution, improved public health, and enhanced sustainability.   

Economic Impact Analysis vs. Cost-Benefit Analysis: A Comparison

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Economic impact analysis (EIA) and cost-benefit analysis (CBA) are often confused. Many believe these two frameworks to be interchangeable, but they have fundamental differences. Understanding these various analytical tools is vital for evaluating the actual value and implications of policies, projects, and investments. This session will explore the similarities, differences, and applications of economic impact and cost-benefit analysis.  

During this webinar, David Casazza will shed light on the unique approaches, objectives, and areas of focus relating to economic impact analysis and cost-benefit analysis. He will give specific examples of when one tool is preferable to the other and some common misconceptions about each tool. 

Economic Barriers to Child Care

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The current child care system in the United States places most of the burden of paying for care on individual families. The rising costs of child care leaves many left without access to affordable, high-quality early childhood programs. Parents must often choose whether to work or forego a job due to unaffordable child care cost.  This webinar will describe a study that uses the REMI model to measure the economic impact of child care inaccessibility in Washington State.

The study examines the effect that child care availability has on labor force participation and productivity and its impact on the economy.  The results of the economic impact analysis show that Washington’s households, businesses, and economy experience major economic and fiscal losses due to child care inaccessibility. Findings indicate that the direct, indirect, and induced effects of short- and long-term disruptions derived from child care breakdowns translate not only into parents having less disposable income and companies being less productive, but also into lost government tax revenue, and statewide production.


Dominic Modicamore, MUP
Labor Economics Lead at ICF

Dominic Modicamore is an Economist with 26 years of professional experience. He is a subject matter expert in economic and fiscal impact analysis, labor market analytics, and industry sector analysis. He also has extensive experience measuring program performance by analyzing participant outcomes and conducting cost, ROI, and cost-benefit analysis studies. Mr. Modicamore has conducted numerous economic and fiscal impact analysis, ROI studies, labor market, industry sector, and economic development studies at the national, regional, and local levels. Recent economic impact studies that Mr. Modicamore has completed include the economic and fiscal impact of the Washington DC food industry cluster, the economic and fiscal impact of child care accessibility in Washington State, the economic and fiscal impact of refugee resettlement in Colorado, and the economic impact of oil and gas industry in the Gulf Coast.  Mr. Modicamore has a Master of Urban Planning (M.U.P.) degree with a specialization in Economic Development Planning from the State University of New York at Buffalo.

ChatGPT for Economic Analysis

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Join us for a webinar as we integrate OpenAI’s ChatGPT with REMI model outputs to interpret results and draft a summary report. We will start by introducing the REMI economic modeling framework and discuss how it can help organizations make informed decisions on a range of economic issues. We will then explore the challenges that analysts face when interpreting and analyzing the results of these models, and how ChatGPT can provide insights to help navigate these challenges. 

This webinar is ideal for professionals in the fields of economics, public policy, and data analysis who want to learn how to unlock the potential of ChatGPT for economic analysis. Our expert presenters will demonstrate how ChatGPT can help users describe key results from REMI models, identify challenges and generate supporting narratives. 

Prospects for Growth and Change: U.S. Metropolitan Areas

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The U.S. faces economic uncertainty at the global, national, state and local level. Private and government decision makers still need long-term economic forecasts to inform their planning and policies. Frederick Treyz, PhD, will present “Prospects for Growth and Change: U.S. Metro Area Forecasts 2022-2032,” published in the Economic Development Quarterly, February 2023.

In this webinar, Frederick Treyz will present REMI’s baseline economic and demographic forecasts for major U.S. metropolitan areas for the next 10 years. He will describe the methodology underlying these projections, and the reasons for differences in population and GDP growth estimates.  The REMI model provides a framework for forecasting and policy analysis; Mr. Treyzwill show how model users can adjust the forecast to account for regional expertise in future economic conditions.