eREMI: A Structural Approach to Long-Term Economic & Demographic Forecasting

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eREMI is a tool that provides a wide range of organizations with the necessary data to conduct long range planning, regional competitiveness showcasing, regional research, and more. With projections extending to 2060, eREMI offers organizations a structural, data-driven approach to understanding long-term regional and national demographic and economic trends.  

For over 40 years, REMI has provided dynamic macroeconomic analysis to policymakers, researchers, and private organizations. eREMI provides our refined forecast to organizations without the need for policy analysis, delivering county-level forecasts demonstrating how regional economies are interconnected with national trends.  

This session will explore the methodology behind eREMI’s structural approach to forecasting, key macroeconomic and demographic indicators included in eREMI, how MPOs, state DOTs, EDCs, private organizations, and universities use REMI’s forecast for strategic planning, and the value of transparent, publicly available data in long-term economic analysis

This webinar will provide a comprehensive overview of how eREMI can enhance your forecasting capabilities, whether you’re a planner, economist, or decision-maker looking for reliable, long-term insights.  We hope you will join!

Trump Immigration Policy: Using the REMI MRUS Model

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This webinar shows how the REMI Multiregional U.S. (MRUS) model is used to evaluate the state and regional impacts of national policies, focusing on immigration.  Various immigration policies put forward by incoming President Trump are likely to significantly reduce the net level of international immigration into the U.S.  National, state, and local governments need to understand the potential effects of restrictive immigration on their jurisdiction’s economic and fiscal conditions.  

To evaluate the effect of national policies on state and regional economies, analysts need an economic model that breaks out sub-national economies while still representing the entire U.S. macroeconomy.  The REMI MRUS model is built from regional economies that add up to the U.S.  Using this model, we will show the potential impacts of reduced net immigration imposed as a national policy, with specific state-level effects and economic interactions among the states. 

Trump Tariffs: Impacts on State and Local Economies

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In light of potential massive increases in tariffs, state and local-level policymakers are interested in understanding the implications for their economy. The REMI Multiregional U.S. (MRUS) model integrates a region that encompasses the entire U.S. economy, and upgrading a REMI model to an MRUS model allows states to conduct state-level economic impacts of national policy. It also enables REMI users to properly model and compare the economic effects of national policies, such as tariffs, between different regions. National monetary policy closures in MRUS models allow users to represent Federal Reserve monetary policy responses. State-level tariff policy modeling demonstrates the impacts of industry protection, price changes along the supply chain, consumer prices, and dynamic behavioral responses to price changes.  

In this session Dr. Frederick Treyz and Chris Judson will demonstrate how the REMI MRUS model can explore the sector-specific and regional impacts of tariff policies. Current REMI clients and anyone interested in tariff policy analysis are encouraged to attend.   

Economic Impacts of Brownfields Cleanup and Reuse

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Join us for an insightful webinar on the Economic Impacts of Brownfields Cleanup and Reuse, where we will explore how restoring and redeveloping these underutilized, often contaminated properties can significantly boost regional economies. Brownfields increase the costs of development, which may make the land completely unviable to developers. However, when these sites are cleaned up and returned to productive use, they present a tremendous opportunity for community revitalization, job creation, and increased property values.

In this webinar, we will dive into the economic benefits of brownfield remediation using the REMI PI+ model, a powerful tool for evaluating regional economic impacts. Our experts will demonstrate how this dynamic modeling software can help quantify the positive effects of cleanup efforts, such as new investment, job growth, and improved public health outcomes. We will further discuss how the redeveloped lands can promote industry growth in regions that retains and expands the workforce. Whether you are a policymaker, developer, or community advocate, this session will provide valuable insights into how transforming brownfields can drive economic growth and sustainability.

Economic and Social Impacts of Broadband Expansion

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The Federal Government has been dispersing broadband expansion grants to encourage economic development in rural areas. Beyond the direct economic impacts of these investments, there are also further economic impacts that positively benefit communities and local industries. Easier access to high-speed and reliable broadband can increase workforce development and employment opportunities for remote workers. Remote work prospects can also encourage migration to less densely populated areas, which has economic impacts on regions.  

In this webinar, we will demonstrate how REMI PI+ can be used to forecast the economic impacts of broadband expansion. We will also show how fast and reliable broadband expansion service affects varying demographics, including race, gender, and income quintile, differently. Demographic analysis will be conducted using REMI SEI.