Frequently Asked Questions
A. Out staff is experienced in a broad range of economic and planning disciplines including:
A. Our staff has a combined over 100 years of training and experience in economic development, public finance, regional and urban planning, transportation planning, health care economics, with specialties in feasibility studies, economic and demographic forecasting, gaming industry, utility industry and housing needs analysis.
A. While our approach to projects is "client-specific", our research and conclusions for projects will always be "data-driven" and objective. SEG will not accept any projects for which the client requires that the analysis reflect predefined conclusions.
A. It varies depending upon the scope of the study, the amount of data that the client can provide and the amount of data that we must collect or develop. Typically, our projects require between one month and six months to complete. We often work on short time lines and take pride in delivering our product on time and on budget.
A. Once we have agreed upon the specifications of the project, we will prepare a proposed budget. If that is acceptable, we will submit to you a list of the proprietary data that we will need to complete the project. During the course of our work we will provide you with periodic progress reports. For a new client, our contract may stipulate periodic partial payment of the fee with the balance to be paid when the work is completed. We consider the project completed only when the results are acceptable to the client. Final payment is generally due 30 days after billing. Accounts unpaid after 30 days will be assessed a compounded late payment penalty of 1.5% per month.
A. That depends on the confidentially level required by the client.
A. We have extensive experience preparing economic impact analyses from zipcode to national level using impact models including IMPLAN Input-Output Model, REMI dynamic regional impact model and GIS modeling and mapping. We also build project-specific customized economic and statistical models using proprietary software.