Data and Decision Tools

Today’s environmental experts have a wide range of tools at their disposal for the design and evaluation of local, state, regional, and national policies. Many of these tools were developed at RFF, and the organization’s contribution to the field of environmental economics remains one of its greatest legacies.

RFF Economic Models

Decisionmakers around the world turn to RFF to model the impacts of their climate policy proposals. We offer a range of economy-wide models that examine the entire US economy. We also maintain and develop models that simulate the electricity, transportation, oil and gas, and land sectors of the US economy. Finally, in collaboration with the RFF-CMCC European Institute for Economics and the Environment, we operate a number of climate models that operate at the global scale.

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Goulder-Hafstead Energy-Environment-Economy (E3) CGE Model

The Goulder-Hafstead Energy-Environment-Economy (E3) CGE Model helps to predict how federal policies that price emissions will affect the future.

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Employment Dynamics in General Equilibrium (EDGE) Model

To understand how carbon pricing policies affect unemployment, we turn to the Employment Dynamics in General Equilibrium (EDGE) model.

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Social Welfare Incidence Model (SWIM)

Our Social Welfare Incidence Model assesses how carbon pricing policies affect different income groups.

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Stochastic Emissions Projection Tool (SEPT)

When we need to understand levels of emissions uncertainty under carbon taxes, we pair E3 with another model called the Stochastic Emissions Projection Tool (SEPT).

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Hafstead Dynamic Regional General Equilibrium Model (DR-GEM)

We use our Hafstead Dynamic Regional General Equilibrium (DR-GEM) model to evaluate regional emissions pricing policies across the US.

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Haiku Electricity Model

Haiku simulates the effects of policies and investments on the US electricity sector at the state level.

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Engineering, Economic, and Environmental Electricity Simulation Tool (E4ST)

The Engineering, Economic, and Environmental Electricity Simulation Tool (E4ST) simulates the effects of policies and investments on the US electricity sector with exceptional geographic detail.

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RFF Vehicle Market Model

In the transportation sector, the Vehicle Market Model (VMM) simulates the impacts of policies that affect vehicle markets–like fuel economy standards and changes in EV charging infrastructure.

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Dynamic Oil and Gas Market Analysis (DOGMA) Model

The Dynamic Oil and Gas Market Analysis (DOGMA) Model examines how US drilling and production respond over time to price and policy fluctuations.

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Carbon and Land Use Model (CALM)

In the land sector, the Carbon and Land Use Model (CALM) simulates changes in agriculture, forestry, and other land uses under varying policies.

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World Induced Technical Change Hybrid (WITCH) Model

At a global scale, the World Induced Technical Change Hybrid (WITCH) model, operated in conjunction with the RFF-CMCC European Institute for Economics and the Environment, assesses climate change mitigation and adaptation policies.

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Intertemporal Computable Equilibrium System (ICES) Global CGE Model

Inter-temporal Computable Equilibrium System (ICES) is a model used to assess impacts of climate change on the economic system and to study mitigation and adaptation policies.

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RFF-Berkeley Greenhouse Gas Impact Value Estimator (GIVE) Model

The RFF-Berkeley Greenhouse Gas Impact Value Estimator (GIVE) Model helps to improve estimates of the social cost of carbon–a metric used to account for climate damages in decisionmaking.

Data Tools

Building on our modeling expertise, RFF scholars have created a series of data tools that allow users to explore our research data in a variety of novel ways. Several flagship tools are noted below, and more can be found on our data tools page.

Decision Tools in Environmental Economics

Many foundational concepts in environmental, energy, and natural resource economics were developed by RFF scholars over the course of the institution's 70 year history. The pages below explore research at RFF related to a selection of key decision tools in these fields of study.