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A Better, More Diverse Senior Executive Service in 2050

A Better, More Diverse Senior Executive Service in 2050

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day college enrollment. Whites will rema<strong>in</strong> overrepresented. The most notable differenceswould relate to African Americans and Asian Americans, where a graduatepopulation benchmark would likely show that African Americans were significantlyoverrepresented and Asian Americans significantly underrepresented.Our dynamic modelOur 2030 projections on the makeup of the <strong>Senior</strong> <strong>Executive</strong> <strong>Service</strong> are theresult of a dynamic model created by the Center for American Progress.Our model works by look<strong>in</strong>g at the age, gender, and race profile of the exist<strong>in</strong>g<strong>Senior</strong> <strong>Executive</strong> <strong>Service</strong>. As exist<strong>in</strong>g members age and leave the federal government,they are replaced by new people drawn either from outside governmentor from more junior grades <strong>in</strong> government. The ethnic, racial, and gender compositionof jo<strong>in</strong>ers is different to those who leave, so the diversity of the <strong>Senior</strong><strong>Executive</strong> <strong>Service</strong> changes. The model worked its way through two “generations ofpromotions” by ag<strong>in</strong>g the population, allow<strong>in</strong>g for people who leave, and allow<strong>in</strong>gfor jo<strong>in</strong>ers. The result is the composition of the <strong>Senior</strong> <strong>Executive</strong> <strong>Service</strong> and itsfeeder grades <strong>in</strong> 2020, and aga<strong>in</strong> to get to the 2030 projections.In develop<strong>in</strong>g our model, we have tried to be realistic <strong>in</strong> our assumptions, butwhere necessary, we have chosen assumptions that are generous. As a result, weth<strong>in</strong>k we are slightly more likely to overstate the extent of likely improvement <strong>in</strong>diversity than we are to understate it.In terms of data, we relied upon the Office of Personnel Management’sFedScope system, which allows the public access to complex data about thecomposition of the federal workforce. The data did not allow gender and raceanalysis to be conducted at the same time, so we asked OPM to share with usdata that would. Our model uses data from FedScope and these new data thatOPM provided us. For workforce projections, we utilized those prepared by theBureau of Labor Statistics.Any model, of course, requires assumptions. The follow<strong>in</strong>g guide our model:• The size of the <strong>Senior</strong> <strong>Executive</strong> <strong>Service</strong> will rema<strong>in</strong> static. This assumption wasalso made by the Government Accountability Office, which created a model<strong>in</strong> 2003 to predict the likely diversity of the <strong>Senior</strong> <strong>Executive</strong> <strong>Service</strong> by 2010.In do<strong>in</strong>g so, they assumed its members would rema<strong>in</strong> static. But the <strong>Senior</strong>11 Center for American Progress | A <strong>Better</strong>, <strong>More</strong> <strong>Diverse</strong> <strong>Senior</strong> <strong>Executive</strong> <strong>Service</strong> <strong>in</strong> <strong>2050</strong>

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