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Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot ([email protected])

Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot ([email protected])

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Page 1: Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot (apilot@cea.eop.gov)

Improving Economic Data through Data Synchronization

Presentation for APDU

September 25, 2009

Adrienne Pilot ([email protected])

Page 2: Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot (apilot@cea.eop.gov)

CIPSEA: Confidential Information Protection and

Statistical Efficiency Act

• Passed in 2002 with Administration and Congressional support. Supported by previous Administration.

• Confidential Information Protection: – Standardized safeguards to protect confidentiality of information

collected by federal agencies for statistical purposes

• Statistical Efficiency: – Authorized sharing of business data among Census, BLS, and BEA

• Reduce paperwork burdens• Improve economic statistics • Increase understanding of the economy

Page 3: Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot (apilot@cea.eop.gov)

Improve Economic Statistics and Understanding of US Economy

• Improve the comparability & accuracy of Federal economic statistics by allowing the agencies to – reconcile differences in business lists– develop consistent classifications of businesses into industries– improve coverage

• Improve the understanding of the U S economy (including key industries and regions), – develop more accurate measures of the impact of technology on

productivity growth – enhance the reliability of the Nation’s most important economic

indicators, such as the NIPAs

Page 4: Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot (apilot@cea.eop.gov)

Business List Comparison Project

• BLS and Census Business Lists

– Over 30% of single-establishment businesses had different NAICS industry codes in the two lists

– 15% of single-establishment businesses differed at the sector level (e.g., construction, manufacturing, retail trade)

Page 5: Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot (apilot@cea.eop.gov)

Additional Legislation Needed

• Census business list – constructed using tax information (such as business name

and address) – considered to be commingled with information from IRS

• Any use of Federal Tax Information beyond tax administration must be authorized in the tax code.

• Statistical use of some business tax information is authorized for Census and BEA. Not, however, for BLS.

• Sharing of business data among Census, BLS, and BEA would require legislation to modify the tax code.

Page 6: Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot (apilot@cea.eop.gov)

Proposed Tax Legislation

• Data synchronization legislation would provide:– BLS access to Census business data considered

commingled with tax information– BEA access to industry data on non-corporate

business data (partnerships and sole proprietorships)

Page 7: Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot (apilot@cea.eop.gov)

Comparability and Accuracy of Federal Economic Statistics

• Reconciliation of BLS and Census Business Lists– Improved sample frames for surveys

• BEA access to industry level data for non-corporate businesses (partnerships and large sole proprietorships) – Improved measurement of income– Improved measurement of international

transactions

Page 8: Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot (apilot@cea.eop.gov)

Reconcile GDP and GDI

Reduce the statistical discrepancy• GDP (Census based) • GDI (largely BLS based)

Primary measures of national economic activity used in• Determining recession or recovery• Forecasting budget receipts and expenditures

Page 9: Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot (apilot@cea.eop.gov)

Real GDP Growth in Key Sectors

NAICS Subsector 334Computer and Electronic Product Manufacturing– During the 2002 economic recovery there was

uncertainty regarding the health of the IT sector. – 2002 growth of real value added:

o7.4% (as published; using BLS payroll data) o15.6 % (using Census payroll data)

Page 10: Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot (apilot@cea.eop.gov)

Distribution of Federal Funds

• BEA per capita personal income data (based largely on BLS wage data) are used in the formulas to distribute over $225 billion in Federal funds to States each year (mainly Medicaid).

• During the State fiscal crisis in 2003, private wage levels based on BLS data were $2.5 billion higher in Texas and $7.1 billion lower in Washington than Census levels.

Page 11: Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot (apilot@cea.eop.gov)

State and Local Budget Planning• BLS and Census measures of wage and salary growth

by state sometimes differ by hundreds of millions of dollars.

• During the early stages of the economic recovery in 2002, these differences would have produced significantly different projections of state and local government income receivedo $165 million discrepancy in New Jersey o $193 million discrepancy in Massachusetts

• The $1.2 bill wage growth difference in New York would have yielded a $173 million discrepancy in projected state and local revenue.

Page 12: Improving Economic Data through Data Synchronization Presentation for APDU September 25, 2009 Adrienne Pilot (apilot@cea.eop.gov)

Report RecommendationsTax legislation to enable data sharing / data synchronization has been

recommended in the following recent reports:

• 2006 Improving Business Statistics through Interagency Data SharingNational Academies of Science - CNSTAT

• 2007Understanding Business DynamicsNational Academies of Science – CNSTAT

• 2008

Innovation Measurement: Tracking the State of Innovation in the American Economy

A report to the Secretary of Commerce by the Advisory Committee on Measuring Innovation in the 21st Century