ments, but also the second, third, fourth,... nth round indirect industry and service sector requirements resulting from expenditures on the Space program. Next, the total output requirements from each industry are used to compute sales volumes, profits, and value added for each industry. Then, using data on manhours, labor requirements, and productivity, employment requirements within each industry are estimated. This allows computation of the total number of jobs created within each industry. The next step requires the conversion of total employment requirements by industry into job requirements for specific occupations and skills. To accomplish this, MISI utilizes data on the occupational composition of the labor force within each industry and estimates job requirements for 475 specific occupations encompassing the entire U.S. labor force. This permits estimation of the impact of the program on jobs for specific occupations and on skills, education, and training requirements. Utilizing the modeling approach outlined above, MISI estimated the effects on employment, personal income, corporate sales and profits, and government tax revenues in the United States and in each state. Estimates were then developed for detailed industries and occupations. For further analysis we selected two states: Indiana and Louisiana. The next step in the analysis entails assessing the economic impact on specific cities - Metropolitan Statistical Areas (MSAs). The MISI approach permits disaggregation to the level of most U.S. MSAs and, if desired, to the county level. Empirically, the basis of the sub-state estimates is the Regional Input-Output Modeling System (RIMS II) developed by the U.S. Commerce Department’sBureau of Economic Analysis (BEA). The MISI model and data base permit economic impacts to be estimated for any region composed of one or more counties and for any industry in the national 1-0 table. MISI can estimate the impacts of project and program expenditures by industry on regional output (gross receipts or sales), earnings (the sum of wages and salaries, proprietors’ income, and other labor income, less employer contributions to private pension and welfare funds), and employment. The use of this methodology has been validated in independent studies over the past two decades. For the MSAs we are further interested in estimating the impact on requirements for specific occupations. To accomplish this we utilized the MISI occupation- by-industry matrix, the coefficients of which show the percent distribution of occupational employment among all industries. The 80-by-475 matrix was developed from the 1983 Current Population Survey, and was modified to conform to the available data.
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