Evergreen Economics specializes in using rigorous economic analysis techniques to address public policy issues. Our team has developed a reputation for providing high-quality research results that are based on ‘real world’ behavior that withstand intense scrutiny from independent reviewers. In addition, our projects often involve presenting results as public testimony, requiring that research findings be defensible and explanations of methods and results communicated to a broad audience.
Our general areas of expertise are described below – additional information is available upon request.
Economic Impact Analysis
Energy Program Evaluation
A particular expertise of Evergreen is conducting detailed evaluation, monitoring, and verification (EM&V) studies of energy efficiency programs. Our impact, process and market evaluations have covered all major end uses in the residential, commercial, and industrial sectors and include both electric and gas efficiency measures. Many of these evaluation studies have utilized sophisticated statistical models to provide robust estimates of realized energy savings. Recent projects include evaluations in California, Massachusetts, Oregon, Ohio, Michigan, Minnesota, Colorado, Iowa, Nevada, and Hawaii.
Please click here for information on a sample of EM&V projects
Evergreen researchers have completed a wide range of projects relating to renewable energy. For the National Renewable Energy Lab (NREL), Evergreen researchers conducted a nationwide market assessment to estimate the market potential for solar energy among commercial customers. Additional analysis for NREL involved estimating the potential national economic impacts of the proposed Solar America Initiative. Evergreen researchers have also completed multiple local projects involving specific renewable energy power plants (wind and biofuels) and have developed a guidebook for rural communities in Washington State to estimate the potential economic impacts of community wind farms.
Senior Evergreen staff specializes in statistical analysis and econometric modeling and are skilled in a wide range of modeling techniques. Depending on the research questions, our models range from simpler linear regression models to the more complex fixed and random effects models using time series data. We have also done extensive work using discrete choice models, ranging from logit and probit models (involving a single choice) to the more comprehensive nested logit model (involving a series of related choices). We utilize all the standard statistical modeling software including SPSS, SAS, LimDep, and Eviews to conduct our modeling.
Economic Impact Analysis
Evergreen researchers have done multiple projects examining the potential economic impacts of renewable energy projects and energy efficiency programs. For these projects we typically team with ECONorthwest researchers who are also very experienced in this area. The economic impacts are estimated using the input-output model IMPLAN and provide estimates in terms of economic output, personal income, jobs, and tax revenues. Studies have involved estimating the economic impacts of a specific project (e.g., proposed wind farms, biofuels plant, wind power manufacturing). Other studies examine the economic impacts of broader policies, such as Oregon’s energy tax credit programs (BETC/RETC), a proposed renewable portfolio standard (RPS) for Oregon, a proposed cap-and-trade system in Oregon and Washington, and the potential of a wave energy industry centered in Oregon. We have also estimated the economic impacts of energy efficiency programs, including studies for Energy Trust of Oregon and Consumers Energy in Michigan, with similar statewide studies planned for Ohio and Hawaii in 2011.
Evergreen has developed extensive capabilities for designing and implementing conjoint analysis studies. Conjoint analysis is a common market research tool used to determine how consumers make tradeoffs when purchasing specific products. By examining how customers choose between alternatives in a controlled environment, the conjoint data can be analyzed to determine which product features are actually driving the purchase decisions. Evergreen has developed web-based conjoint tools that allow for the conjoint data collection to be done at a fraction of the cost of traditional methods.