Unique ID: 2015110

Division: Office of Information and Regulatory Affairs
Issue Date: February 13th 2019
Last modified: February 22nd 2019
Collaborative

Innovation Measurement Initiative

Using transaction data to trace links between research training and the subsequent earnings of trainees

Investments in science have become central to U.S. innovation and competitiveness policy. Indeed, legislative efforts such as the Frontiers in Innovation, Research, Science, and Technology (FIRST) Act and the America Competes Act explicitly link funding in science to the national innovation agenda. Yet as Ben Bernanke has pointed out, scholars are not able to explain how federal support for R&D affects economic activity. The nation has no data to guide it on the direct impact of science on the economy, so it is not known either how much money to spend on science or what kind of science. Policy makers are forced to rely on expenditure multipliers, rather than true measures of impact The Census Bureau can fill the current information gap by expanding the resources dedicated to measuring the micro foundations of scientific and technical knowledge production and their impact on the broader economy (the Bureau does jointly perform the Business R&D and Innovation Survey along with NCSES at NSF). This initiative provides a low-cost approach to fill this gap by producing a new series - the Innovation Measurement Indicators. These indicators provide direct information about the effect of research on the economy by tracing the links between research training and the subsequent earnings and career trajectories of trainees as well as the characteristics of the firms where they work and that they start up. The indicators also provide direct information about the links between federal research funding and the characteristics of firms supplying the research inputs

Project Objective:

Pilot intended to go to production to improve timeliness, Scientific / research

Project Outcomes:

New measures of business innovation.

Statistical Area

Criminal justice

Project Sources
Project Sources
Type Of Institution: National statistical office
Big Data Source: Other
Region: North America
Country Area: United States
Id Country Regional: country
Partnerships
Partnerships
Other Partners: Research or academic institute
Accessing Data
Accessing Data
Data Access Rights: Only for this project
Data Coverage
Data Coverage
Data Coverage: Only a portion of all data
Coverage Geo Pop: Part of country / low % of market
Cost Implication: Free
Coverage Period: Varies
Data Quality
Data Quality
Quality Framework: Quality of output statistics
Quality Aspects Evaluated: Privacy and Security, Accessibility, Relevance, Institutional/Business Environment, Validity, Accuracy, including selectivity, Coherence, including linkability to other sources
Validation Comments: There is no ground truth. This is a new product.
Quality Framework Comments: All these approaches are used not just the one marked.
Methodology
Methodology
Methods Used: Traditional statistical methods, Data visualization methods, Machine learning (Random forest, etc.)
Technologies
Technologies
Technologies: NoSQL database, Data mining tools, Data visualization tools, Other
Technologies Comments: SAS
Other
Other
Income Level: High-income
Iso: US
Timeframe To Produce Indicator: NA
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