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forward instead of the growth rate of GDP, the budget implications could besubstantial. An analysis of fiscal year 2006 by the Office of Management andBudget found that if the GDP were persistently understated by 1 percent,the projected cumulative budget deficit would be overstated by $530 billionover a 5-year period.Better measures of business formation are needed to understand thechanging composition of the business sector and the factors that contributeto business and job creation. Data synchronization would help agencies trackbusiness formation more accurately and on a more timely basis by reconcilingthe business lists from the Census Bureau and the BLS. For example,the Census Bureau’s Business Register relies heavily on the EconomicCensuses (conducted every 5 years) for information on business structure. Inthe intervening years, however, the Census Bureau makes use of its annualCompany Organization Survey, which covers all employers with more than250 employees, but only a sampling of smaller companies. The CensusBureau’s Business Register generally does a good job identifying ownershiplinks among establishments (e.g., when a single firm owns establishments intwo different States). However, the information on ownership is weaker forsmaller firms because only a subset of these businesses is surveyed during theyears between the 5-year censuses. Firm restructuring often contributes tothe difficulty of tracking parent–subsidiary relationships. The BLS BusinessEmployment Dynamics accurately measures the universe of business openingsand closings on a quarterly frequency but may not always successfullytrack parent–subsidiary relationships. Combining the strengths of the Censusand BLS business lists would improve the ability to discern whether a newestablishment is an entirely new firm or a new branch of an existing firm, andtherefore improve understanding of business dynamics.Data synchronization could also help reconcile differences between similarstatistics produced by separate agencies. For example, the BLS publisheswages and salary data based on its Quarterly Census of Employment andWages business list and the Census Bureau publishes payroll data in itsCounty Business Patterns series. A comparison of 2003 private wages andsalaries revealed that these two measures differed by significant amounts.For example, the BLS measure of wages and salaries in New Mexico was4.2 percent higher than the Census Bureau measure, while in Alaska, theBLS measure was 9.5 percent lower. At the national level, BLS data were0.6 percent (or $25.1 billion) lower than County Business Patterns data, butthey were 2 percent (or $6.7 billion) lower for New York. Understanding thesources of these differences (such as differences in reporting and coverage)may yield improved regional measures that would have several implications:• Distribution of Federal funds to the States: BEA per capita personalincome data, based largely on BLS data, are used in the formula thatcalculates how to distribute the Federal share of Medicaid funding toChapter 8 | 201

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