Date and Time:

Friday, October 18, 2019 - 1:00 p.m. to 5:30 p.m

Location:

The National Academy of Sciences Building
The Auditorium and Great Hall
2101 Constitution Avenue, NW
Washington, DC 20418

Data Linkage Day is an opportunity for federal employees to share their innovations, applications, and results from linking administrative, survey, and other alternative data sources. The goal of the event is to promote the technical innovations and outcomes related to linking data for statistical purposes, share those innovations with peers, and inspire new ways to produce analytical results to answer the call of evidence-based policymaking.

• Jonathan Rothbaum
  Administrative Income Statistics Project: Using Linked Data to Improve Income Statistics
• Jennifer Ortman
  Big Survey Meets Big Data: Implementing Administrative Records on the American Community Survey
• Kate McNamara and Katlyn King
  Census Bureau Evidence Building Projects
• Liana Fox
  Correcting for SNAP Underreporting: Using Administrative Records to Develop a Model for Improving Reported SNAP Receipt in the CPS ASEC
• Keith Finlay
  Criminal Justice Administrative Records System (CJARS)
• Matthew Bouch
  Data Linkage with SK-Learn
• Edward Porter
  False Duplicates in the Census: A novel approach to identifying false matches from Record Linkage Software
• Angela Wyse and Derek Wu
  Learning about Homelessness in the U.S. Using Linked Survey and Administrative Data
• Derek Wu
  Poverty in the United States Using the Comprehensive Income Dataset

• John Voorheis
  The Promises and Challenges of Linked Rent Data from the Consumer Expenditure Survey and Housing and Urban Development
• Emanuel Bendavid
  Regression with Linked Data Files