Applied Economics provides custom studies and software applications designed to address the specific needs of our clients. Our focus is in three areas: economic development, economic and fiscal impact, and socioeconomic modeling and urban planning. Within each of these areas we provide a specialized group of services, all aimed at applying economic theory, socioeconomic data, and information technology to address the issues affecting our clients.
Applied Economics provides a variety of economic development research and implementation support services, including labor market analyses, marketing materials, and other targeted economic research. Our customized software tools include an interactive business climate and operating cost comparison system and various economic and fiscal impact models. Our economic research includes standardized factbooks and other marketing materials, as well as labor market studies, economic base and targeted industry analyses.
Applied Economics conducts economic studies and fiscal impact analyses and develops models to measure the effects of a wide variety of inputs. These can include land use development and policy changes, business-driven economic impacts, or program-driven impacts. Studies of development-based impacts, such as those caused by new development, redevelopment, and annexation, are used to quantify the effects of land use, zoning, and density changes on public finances. The overall efforts of economic development organizations are quantified by measuring the results of programs on the locations or businesses affected.
Applied Economics provides school enrollment and other socioeconomic projections and retail market assessments. Our projections are produced for regional, sub-regional, and small-area geographies. We specialize in developing models to prepare small-area estimates and projections of variables, including population, housing units, and employment, that are used in a variety of planning objectives. Our school district projection studies identify future development by type and location and produce student enrollment projections by grade and small-area location.