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REGIONAL EMPLOYMENT FORECASTS <br /> Basic assumptions underlying the employment forecasts: <br /> • Continuation of the Twin Cities increased share of national and urban growth. <br /> • No major changes in the structure of the national economy over the forecast period. <br /> • Due to current high labor force participation, there will be only modest increases in the near future. <br /> • As the baby boom cohort reaches retirement age, the TCMA and national employment growth rates will decline. <br /> • Employment tends to concentrate rather than disperse. <br /> • Employment growth in subareas of the region is not strongly correlated with population and household growth, it is, however, on the <br /> regional level. <br /> • Employment concentrations, while not necessarily stable in employment levels, continue for the long term. <br /> • The location of employment concentrations is highly related to transportation corridors, intersections and traffic levels. <br /> • Land cost, availability and local government incentives and subsidies affect employment growth at the subarea level. <br /> Employment was forecast by using a national employment projection prepared by the U.S. Department of Labor. The national projection was <br /> used to determine the Metropolitan Area employment forecast based on the historical relationship between Twin City Metropolitan Area <br /> employment and national employment. Alternative forecasts were prepared using separate methodologies and data series to establish a range <br /> within which future metro area employment is likely to fall. We assume no major changes in the structure of the national economy over the <br /> forecast period; and that labor force growth will decline when the baby boom cohort reaches retirement age beginning around the year 2010. <br /> SUBREGIONAL AND MUNICIPAL EMPLOYMENT ALLOCATION <br /> As with population and households, the-methodology does not attempt to directly forecast at the subarea level. Instead, forecasts are made for the <br /> entire region and allocated to subareas (quadrants, policy areas and cities) based on long term historical growth trends and other factors such as <br /> commercial/industrial construction activity, location of retail centers, population growth, highway improvements, and land supply. There were three <br /> steps. <br /> • First, data for the period 1970-1990 were the basis for projecting future subarea growth for the period 1990-2020. The methodology used <br /> common statistical techniques (regression analysis) to relate employment change in the Twin,Cities to forecasts of changes in the national <br /> economy. <br />