Data Announcements

2014 LEHD Snapshot is now available!
The Longitudinal Employer-Household Dynamics data has been updated and a new snapshot up to 2014 is now available. Contact Bob if you have questions about this innovative dataset or the advantages of the 2014 snapshot.

2010, 2011 & 2013 CPS Civic Engagement Supplement is now available!
The CPS Civic Engagement Supplement includes information on the level of participation in organized groups, extent of political action and knowledge, extent of connections with other community members, and how often individuals get news and information from various media sources. Contact Bob if you are interested in learning more about the data and the advantages of the restricted data.

2018 WiscRDC Publications

Allen, Chenoa, “Who loses public health insurance when states pass restrictive omnibus immigration-related laws? The moderating role of county Latino density,” Health & Place, 2018. 54: 20-28.

Burns, Marguerite, Laura Dague, and Joshua Witter, “Public health insurance, health status, and retirement decisions,” SSA Retirement Research Center Working Paper, December 2018.

Fletcher, Jason M, “Examining the long-term mortality effects of early health shocks,” Applied Economics Letters, 2018: 1-7.

Fletcher, Jason M, “New evidence on the impacts of early exposure to the 1918 influenza pandemic on old-age mortality,” Biodemography and Social Biology, 2018. 64(2) (2018):123-126.



New Research Associate Director

We are very happy to welcome Wang Jin as the new Research Associate Director at the WiscRDC.  In this new position Wang will help researchers successfully develop and submit Census related proposals.

While I continue to be the main point of contact for questions regarding the RDC application process, Wang is happy to help with questions about economic data, research opportunities, benefits, etc.  Please see Wang’s profile below and feel free to contact him with any questions about proposal development.

Name: Wang Jin
Affiliation: Research Associate Director at FSRDC at UW Madison (also Research Associate at IDE, Sloan School of Management, MIT)

I have worked with data available at the FSRDC for more than 7 years, primarily with business level data and some experience with the LEHD database. My current research interests focuses mainly on technology adoption and its impact on firm performance, organizational structure, innovation, and various labor market outcomes. I am also interested in exploring the effects of government regulation and firm behavior on sustainable growth. Below is a list of the approved Census projects I have been involved and submitted:

Approved U.S. Census projects:
•    Risk Exposure, Managerial Characteristics, and Firms’ Real Actions
•    Environmental Regulations and the Impact of Information Technology, Management Practices, and Innovation on Environmental Performance
•    Organizations in the Digital Economy: Information Technology Use, Complementary Investments, and Their Impacts on Firm Outcomes
•    Validating and Improving the ASM-MOPS
•    Short-Run and Long-Run Impacts of Pollution Abatement Spending on Economic and Environmental Outcomes
Submitted Proposals:
•    Technology Adoption, Firm Shocks, and Labor Market Outcome, with John Bai
•    Measuring the AI Economy in America, with Erik Brynjolfsson

For more information, here is the link to my personal website:

DATA AVAILABLE: New Survey of Occupational Injuries and Illnesses

The new Survey of Occupational Injuries and Illnesses (SOII) will be available on October 30th, 2018 for approved projects that are authorized to use these data in the Research Data Centers.

The Survey of Occupational Injuries and Illnesses (SOII) is an establishment survey providing annual information on the incidence rate and number of work-related injuries and illnesses, and how these statistics vary by incident, industry, geography, occupation, and other characteristics. The SOII has three data products: SOII_S gives establishment-level detail such as incident totals, this release covers year 1995 to 2016; SOII_C gives case-level detail including worker demographics, this release covers year 1992 to 2016; and, SOII_A provides establishment name and address information, this release covers year 1997 to 2016.

Soliciting Researcher Questions on firm/establishment identifiers

Census is soliciting questions from active researchers about firm/establishment identifiers (see below).  If you have any important questions about this complicated issue please email me by COB Nov. 15th.  All questions will be answered in a future presentation, given by a seasoned researcher.

Census tracks establishments and firms over time using a variety of identifiers, and researchers may have a several questions associated with 1) which identifiers are available across datasets, 2) how the identifiers evolve over time within a dataset, 3) how the identifiers can be used to link entities across datasets (both internal and external), and 4) how identifiers evolve over time for a particular firm or establishment. The goal of this presentation would be to identify the specific questions researchers often have, and to compile answers that could be shared with researchers in the future.

Economist Data Webinar Series for current and prospective researchers

Economists from the Center for Economic Studies at the U.S. Census Bureau will be hosting a series of webinars about datasets that are available through the Federal Statistical Research Data Centers. Current and prospective researchers are encouraged to attend.


Please see here for more information
Thursday, Nov. 6 – The Longitudinal Foreign Trade Transaction Database
Speaker: Fariha Kamal
Time: 2-3pm ET
The Longitudinal Foreign Trade Transaction Database (LFTTD) has two components: 1)
Transaction-level export data linked to information on firms operating in the United States, and 2) Transaction-level import data linked to information on firms operating in the United States.
Thursday, Nov. 8 – The Longitudinal Business Database
Speaker: Kristin McCue
Time: 2-3pm ET
The Longitudinal Business Database (LBD) contains the universe of all U.S. business
establishments with paid employees from 1976 to 2016, with longitudinal linkages and birth and death years.
Thursday, Nov. 13 – The Census of Manufactures and Thoughts on Imputation
Speaker: Kirk White
Time: 2-3pm ET
Data for the manufacturing sector are provided for payroll, number of workers, cost of fuels, cost of electricity, energy consumed, cost of materials, purchased services, capital expenditures, depreciation, value of inventories, and value of total and product shipments.

2018 Annual Conference of the Federal Statistical Research Data Centers (FSRDC)

Annual Conference of the Federal Statistical Research Data Centers
Hosted by the Pennsylvania State University FSRDC
Penn Stater Conference Center
September 7, 2018

Wisconsin presentations include:

The Effect of Electricity Price Changes on Manufacturing Investment by Sarah Johnston (University of Wisconsin – Madison)

Establishment Dynamics in Agricultural Support Services: Entry, Exit, and Growth Since 2002 by Brent Hueth (University of Wisconsin – Madison)

Please click on this link to find the complete Conference Program.

New Project from UW-Whitewater

Wenquan Zhang is an associate professor in the Department of Sociology at University of Wisconsin Whitewater.  He is currently working on the project:

Improving Estimates for Post-2000 Small Area Data

Social scientists are interested in characterizing demographic composition and socioeconomic conditions of neighborhoods, documenting trends in the neighborhood characteristics over time, and studying the consequences of living in segregated neighborhoods. However, this research is hindered by the problem of small area estimation (SAE). The SAE problem has increased due to the reduced sample sizes in the American Community Survey (ACS) compared to the decennial census long-form data.

This project concerns two aspects of the SAE problem. One concern is the large confidence intervals around point estimates of characteristics of individual tracts. Another concern, less understood, is the estimates of variation across tracts. These can be thought of as spatial inequality or segregation. This study will examine alternative procedures that directly estimate inter-tract variation from the original person or household-level sample data.

This study will use publicly available Census microdata from 1940 (with a 100% sample) and confidential Census data from 2000 and beyond to assess the bias and reliability of alternative models.

I am part of a research team with researchers from University of Michigan, Brown University, and the Census Bureau.