In July 2019, the Census Bureau released the Business Formation Statistics (BFS), a new data product that tracks trends in business applications and formations at the state, regional and national levels.
The BFS consists of four business application series and eight business formation series. It’s unique because it relies on administrative data from the IRS, specifically the data on applications for an Employer Identification Number (EIN) via IRS Form SS-4, to determine the number of business applications submitted in a quarter, and how many result in businesses with employees.
The BFS also includes projections for business formations in the near future. The BFS began in 2012 as a research project in the Census Bureau’s Center for Economic Studies and was first released in beta form in February 2018. It’s the culmination of research efforts by the Census Bureau, Board of Governors of the Federal Reserve System, Federal Reserve Bank of Atlanta, University of Maryland and the University of Notre Dame. This webinar will provide an overview of BFS and demonstrate how to access BFS data available on the Census website.
Jason Jindrich, Survey Statistician, US Census Bureau
Jeff McHugh, Chief, New and Emerging Indicators Programs, US Census Bureau
Rebecca Hutchinson, Big Data Lead, Economic Indicators Division, US Census Bureau
The Census Bureau is introducing a new framework to protect individual data in the Decennial Census: “Differential Privacy”. This has implications for the reliability and availability of invaluable federal statistics – decreasing accuracy for small areas and small sub-population counts and reducing the scope of various data products in exchange for improved privacy protections.
This webinar from the Association of Public Data Users will provide a background on Disclosure Avoidance, details on the policy decisions leading to Differential Privacy and its subsequent implementation, and comparisons of recently released data comparing previously available 2010 Census data with data demonstrating the impact of Differential Privacy. Register today to learn more.
Beth Jarosz, Senior Research Associate, Population Reference Bureau
Kathryn Pettit, Principal Research Associate, Urban Institute
David Van Riper, Director of Spatial Analysis, IPUMS
Five years ago, staff at the Bureau of Labor Statistics had to read and manually code hundreds of thousands of written descriptions of work-related injuries and illnesses each year. Today, more than two thirds of these codes are now assigned by a deep neural network, which evaluations suggest is substantially more accurate on average than trained human workers.
In this webinar, Alex Measure will discuss how BLS addressed some of the many challenges inherent in this transition. Attendees will learn:
how BLS built these new computer systems
how they decided when and how to use them
how to evaluate their performance
how BLS monitors and maintain them to continually improve performance.
Alex Measure, Economist, Bureau of Labor Statistics
When the U.S. Commission on Evidence-Based Policymaking issued its unanimous recommendations to Congress in 2017, it called for the exploration of new approaches that promote data access and privacy preservation at the same time. This webinar discusses an application of one such technology – multi-party computation – in a real-world setting to assess the applicability of the approach in public agencies.
A demonstration project in Allegheny County, Pennsylvania applied privacy-preserving approaches to generate responses to policy-relevant questions about mental health services, homelessness services, and other public health policies. This demonstration project offers a compelling example of how the technologies can be deployed—which can advance consideration of the approach within agencies at all levels of government. Register today to learn how this new technology could impact the data you rely on.
Presenter: Nick Hart, Ph.D., CEO, Data Coalition Fellow, Bipartisan Policy Center
In this demonstration, Treasury’s Bureau of the Fiscal Service will provide a general overview of the Data Lab and its guiding principles and values. The Data Transparency team will discuss the Data Lab’s relationship to USAspending.gov and our commitment to open data, human-centered design, and agile development. We will examine some Data Lab analyses, such as the recently launched Your Guide to America’s Finances, and review our methodology. Importantly, we will also explain how attendees, and the public at large, can leverage USAspending.gov’s open data to gain insights into public issues they care about. We welcome questions and feedback throughout the discussion.
The Data Lab is a platform designed to help generate public understanding of government spending through interactive data visualizations. It creates tools and visualizations that seek to answer interesting but complicated questions, and shows the power of the data available on USAspending.gov.
Presenter: Justin Marsico, Product Manager, Research & Analytics for Data Transparency, Bureau of the Fiscal Service, U.S. Department of the Treasury
USDA Research Relocation and Reorganization: Perspectives from Former USDA Chief Scientists and Administrators
Agriculture Secretary Sonny Perdue in August caught Congress and USDA stakeholders by surprise with a proposal to relocate the USDA Economic Research Service (ERS) and the USDA National Institute of Food and Agriculture (NIFA) outside of the Washington, DC area and to move ERS from the USDA research arm to a policy arm.
The proposal has raised many questions: Will there be a chance for the USDA partner community to comment? Was the partner and stakeholder community previously consulted? Why the speed of action? What is Congress’s role? What is the problem being addressed? Many concerns have also been raised: Will NIFA and ERS relevance and reach be impacted by being moved away from key audiences and policymakers? Will ERS’s standing as a world premier economics research institution be retained with the expected staff attrition for those not willing to move their families? What will be the impact of ERS’s perception as an independent, trusted source of information and analysis be impacted by its move to a USDA policy office?
The panelists will address the many questions and concerns raised about the USDA proposal; address viewer questions; and suggest actions for Congress, USDA, and viewers.
This June the White House released a proposal that would shift the Bureau of Labor Statistics from the Department of Labor to the Department of Commerce, joining with the Bureau of Economic Analysis and the U.S. Census Bureau under a single economics and statistics agency. Join us for a facilitated conversation with Dr. Ken Poole as he talks with Dr. Nancy Potok, Chief Statistician of the United States at the Office of Management and Budget and Dr. Erica Groshen, former Commissioner of the Bureau of Labor Statistics. Attendees will learn more about the reorganization from Dr. Potok and Dr. Groshen, better understand the rationale for the proposal, and gain insights about key considerations that still need to be addressed. This is your chance to provide feedback about your concerns. You are strongly encouraged to bring questions, concerns, and ideas to the conversation.
Dr. Nancy A. Potok, Chief Statistician of the United States, U.S. Office of Management and Budget
Dr. Erica Groshen, Former Commissioner, Bureau of Labor Statistics
Dr. Kenneth E. Poole, CEO, Center for Regional Economic Competitiveness
The ABS is a new survey planned for survey years 2017-2021. The ABS will replace the Survey of Business Owners for employer businesses, the Annual Survey of Entrepreneurs, the Business R&D and Innovation Survey for Microbusinesses, as well as the Innovation component of the Business R&D and Innovation Survey.
The ABS is a joint project between the U.S. Census Bureau and the National Science Foundation’s National Center for Science and Engineering Statistics. The purpose of the ABS is to reduce respondent burden, increase data quality, reduce operational costs and increase efficiency. The survey will produce annual minority-owned business estimates as well as annual R&D estimates on small employer businesses. Further, the survey will measure new business topics such as innovation and technology as well as other business and business owners characteristics. This webinar will give a background on the ABS, the survey components it has absorbed, and briefly discuss methodology and planned data product tabulation levels.
Naomi Blackman, Supervisory Survey Statistician, US Census Bureau
The Quarterly Census of Employment and Wages (QCEW) program from the Bureau of Labor Statistics publishes extremely detailed data at the county and industry level. The scale of the data presented by QCEW creates accessibility challenges for data users. Users who can surmount those challenges have access to a rich store of local data.
This webinar will serve as an introduction to the QCEW resource. It also provides tips on how to bring QCEW data to bear on research projects. Finally, it provides an update on QCEW calendar changes and new products.
David Hiles, Supervisory Economist, Bureau of Labor Statistics
The Data Documentation Initiative (DDI) is an international standard for describing survey and other social science data. Documenting research data with DDI facilitates interpretation and understanding — both by humans and computers. Learn how DDI improves the ability of researchers and organizations to Document, Discover, and Interoperate in this APDU Webinar on March 7.
Presenters: Barry Radler, Distinguished Researcher, University of Wisconsin
Institute on Aging Jon Johnson, Data Management and Metadata specialist working, UK Data
Jared Lyle, Archivist, Inter-university Consortium for Political and Social Research (ICPSR)