Innovations in labor market intelligence are products of efforts that examine, encourage, and promote the creative development, application, and integration of labor market research in policy, strategy development and decision support.

Data Support for Regional Planning and Economic Development

The effectiveness of the data sharing collaborative processes depends upon engagement of both suppliers of data and analysis and the users and decision-makers responsible for the data's application. Alignment between data producers and users is critical, if we are to become agile in responding to rapidly changing labor market dynamics.

Jobs for the Future (JFF) conducted case studies of six exemplary labor market intelligence programs across the United States. The cases included a selection of LMI producers who are partnering in new ways to produce information that keeps pace with the advancing needs of regional economic and workforce development.

Longitudinal Studies to Improve Workforce Data Quality

The following are examples of leading edge innovations in data sharing and data matching to improve access to administrative and workforce data for better public policy and decision-making:

  • State Longitudinal Data System (SLDS) grants under the Department of Education,
  • the Workforce Data Quality Initiative (WDQI) under the Employment and Training Administration,
  • the Workforce Data Quality Campaign (WDQC),
  • the State Data Sharing (SDS) Initiative from the Center for Regional Economic Competitiveness (CREC), and
  • the Census Bureau's Center for Administrative Records Research and Applications (CARRA).

Innovations in Federal Statistics:  Combining Data Sources While Protecting Privacy

Federal statistics provide critical information to the country.  For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics.  

However, the costs of conducting such surveys have been increasing, while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and detailed information at the state and local levels.

Innovations in federal statistics fosters a paradigm shift to use combinations of diverse data sources from government and private sector sources in place of a single census, survey or administrative record.  

The first publication of a two-part series on this effort discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.  It can be downloaded for free by registering for National Academy of Sciences (NAS) reports.