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Once the expenditures were gathered, the economic impact assessment was conducted using a model of the La Crosse County economy. The model, developed for this study by the authors, is a standard input-output model of the County's economy. At the heart of the La Crosse County input-output model is the transactions table. The transactions table maps all flows between buyers and sellers in the economy. One could think of the transactions table as a spreadsheet of the economy with buyers along the columns and sellers down the rows. Individual cells where columns and rows intersect capture the interactions between that particular buyer and seller. By altering these flows between buyers and sellers, one can trace the impact of that change on the whole of the economy. In this case, new buyers are introduced in the form of youth hockey tournament participants and sellers are lodging establishments, restaurants, gas stations, and grocery stores among others. By using the detailed information contained in Table 1 and Figure 6 an assessment of the economic impact of youth hockey tournaments was undertaken. In addition, there is nearly $45,000 paid in tournament registration fees above and beyond the actual expenditures by participants and their families at the tournament itself. IV Economic Impact Results The economic impact of the youth hockey tournaments hosted at the La Crosse and Onalaska ice -rinks is summarized in Table 2 below. In total, the nearly $700,000 in new expenditures brought into the region translates into about 15 jobs and slightly more than $330,000 in aggregate income. Of this $330,000 in income, $210,000 is in the form of labor income, or wages and salaries. The balance of the income is in the form of proprietor income, rents, and profits. Given the nature of the event examined, it is not surprising that the Table 2 Economic Impact Summary bulk of the economic impact falls into the Trade (i.e., retail and whole) and Service (e.g., restaurants and lodging) sectors. Nearly half (49.6 percent) of the employment impact falls into the Services sector and 43.7 percent goes into Retail (Figure 7). The remaining 6.7 percent of the employment impact is scattered across a range of other sectors, but accounts for less than one job in aggregate. Figure 7 Distribution of Economic Impact Jobs sem: un�Mdv�,aaeiswurximsgn In terms of Total Income, a slightly different distribution becomes apparent. Although Trade and Services still account for the majority, at 35.5 and 43.3 percent respectively, the general category Other accounts for 21.2 percent of income (Figure 8). In other words, Total Income for each job created in the Trade sector is about $17,600 and about $18,900 for each job in the Services sector. For the broader Other category, Total Income is about $68,500 per job created. Direct Total Multiplier Jobs 11.4 14.8 1.3 Labor Income $141,950 $209,700 1.48 Total Income $211,100 $331,900 1.57 bulk of the economic impact falls into the Trade (i.e., retail and whole) and Service (e.g., restaurants and lodging) sectors. Nearly half (49.6 percent) of the employment impact falls into the Services sector and 43.7 percent goes into Retail (Figure 7). The remaining 6.7 percent of the employment impact is scattered across a range of other sectors, but accounts for less than one job in aggregate. Figure 7 Distribution of Economic Impact Jobs sem: un�Mdv�,aaeiswurximsgn In terms of Total Income, a slightly different distribution becomes apparent. Although Trade and Services still account for the majority, at 35.5 and 43.3 percent respectively, the general category Other accounts for 21.2 percent of income (Figure 8). In other words, Total Income for each job created in the Trade sector is about $17,600 and about $18,900 for each job in the Services sector. For the broader Other category, Total Income is about $68,500 per job created.