Although Input-Output models provide a method to measure the output, income, and employment impacts of an industry sector on its regional economy, the extensive data requirements make the construction of an accurate survey based input-output model extremely expensive. Using the "random matrix approach," this paper derives and empirically tests shortcut formulas for output, income, and employment impacts that closely approximate the actual effects.