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Innovations in Federal Statistics: New Views on Regions
Andrew Reamer George Washington Institute of Public Policy George Washington University Understanding, Using, and Maximizing New Federal Data IEDC 2011 Federal Economic Development Forum March 20, 2011
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Innovations in Federal Statistics Context Census Bureau Bureau of Economic Analysis Economic Development Administration National Science Foundation National Center for Education Statistics Employment and Training Administration Bureau of Labor Statistics
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Innovations in Federal Statistics: Context
Bottom-up economic policy ◦ White House: “Winning the Future” ◦ Commerce: competitiveness, innovation ◦ Labor: skills development
IT advances ◦ Administrative records ◦ User data access and manipulation
Federal budget situation
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Census Bureau: 2010 Census Demographic Profile (May 2011) Summary File 1 (Summer 2011) Summary File 2 (Dec 2011 – April 2012) Summary Population and Housing Reports
(May – Dec 2012) Urban/Rural Update (October 2012) Population and Housing Unit Counts Report
Series (April – Sept 2013) Redefined Core-Based Statistical Areas
(Summer 2013)
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Census Bureau American Community Survey ◦ Five-Year estimates (Dec 2010) ◦ Increased sample size increased reliability ◦ H.R. 931 reduced reliability
American FactFinder Upgrade Business Dynamic Statistics Housing Price Index
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Census Bureau
American Community Survey
American FactFinder Upgrade
Business Dynamic Statistics
Housing Price Index
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Census Bureau: ACS, AFF, BDS, Housing Price Index
American Community Survey
American FactFinder Upgrade
Business Dynamic Statistics
Housing Price Index
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Census Bureau
American Community Survey
American FactFinder Upgrade
Business Dynamic Statistics
Housing Price Index ◦ COL factor for Supplemental Poverty Measure ◦ ACS-based
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Census Bureau: Local Employment Dynamics
National program (50 states + DC)
New data elements
Worker Profile Tool
Data visualization
OnTheMap upgrades
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Census Bureau: Local Employment Dynamics
National program (50 states + DC) New data elements ◦ Federal and self-employed ◦ Firm age and size ◦ Race, ethnicity, and education
Worker Profile Tool Data visualization OnTheMap upgrades
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Census Bureau: Local Employment Dynamics
National program (50 states + DC) New data elements Worker Profile Tool Data visualization OnTheMap upgrades
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Census Bureau: Local Employment Dynamics
National program (50 states + DC) Planned data additions Worker Profile Tool Data visualization ◦ IBM Many Eyes ◦ Google Public Data Explorer
OnTheMap upgrades
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Census Bureau: Local Employment Dynamics
National program (50 states + DC) Planned data additions Worker Profile Tool Data visualization OnTheMap upgrades ◦ OTM 5+6 ◦ OTM Mobile ◦ OTM for Congress
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Bureau of Economic Analysis: Plans
Impact of R&D as an investment on GDP by state and metro
Real state personal consumption expenditures
Interarea price indices
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EDA: Clusters Mapping Project
Components ◦ Map of U.S. cluster activity ◦ Directory of cluster initiatives ◦ Research on role of clusters, initiatives
Partners ◦ National—Harvard Business School, MIT Entrepreneurship Center, Temple U. ◦ Regional—U. MN, MA Tech Collaborative, OR Business Council, SC Council on Competitiveness
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National Center for Science and Engineering Statistics
Business R&D and Innovation Survey ◦ Firm as product, process innovator
◦ Innovations new to market v. new to company
NAS S&T Indicators Panel
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National Center for Education Statistics
Statewide Longitudinal Data Systems ◦ Pre-K 12 Postsec Workforce
◦ Common Education Data Standards
◦ Technical assistance to states
◦ Status by state – Data Quality Campaign
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Employment and Training Administration
Workforce Data Quality Initiative ◦ Grants to State LMI agencies to support SLDS
Real-time LMI
Skills-based Projections
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Employment and Training Administration
Workforce Data Quality Initiative
Real-time LMI ◦ Recovery Act grants to state LMI agency consortia ◦ Private actors—Conference Board, Burning Glass, Monster Government Services
Skills-based Projections
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Employment and Training Administration
Workforce Data Quality Initiative
Real-time LMI
Skills-based Projections ◦ Uses O*NET to translate occupational projections to skills-based ones ◦ Managed by State Projections Consortium
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Bureau of Labor Statistics: Wish List OES sample expansion annual averages
for states, metros
JOLTS sample expansion state data
BED substate geography
QCEW – add establishment business function
Data visualization
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Innovations in Federal Statistics: New Views on Regions
Andrew Reamer, Research Professor
George Washington Institute of Public Policy George Washington University
(202) 994-7866