CRIW Conference: Big Data for 21st Century Economic Statistics

Authors Please upload your paper and slides here. Discussants Please upload your slides here.

Katharine G. Abraham, Ron S. Jarmin, Brian Moyer, and Matthew D. Shapiro, Organizers

March 15-16, 2019

Hyatt Regency Bethesda
Cabinet/Judiciary Room
One Bethesda Metro Center
Bethesda, MD

Conference Code of Conduct

Friday, March 15
8:30 am
Continental Breakfast
Session 1, Chair: Katharine Abraham, University of Maryland and NBER
9:00 am
Welcome from Conference Organizers and Opening Remarks from James Poterba, Massachusetts Institute of Technology and NBER
9:10 am
Gabriel Ehrlich, University of Michigan
John C. Haltiwanger, University of Maryland and NBER
Ron S. Jarmin, Bureau of the Census
David Johnson, University of Michigan
Matthew D. Shapiro, University of Michigan and NBER
Re-Engineering Key National Economic Indicators (slides)
Discussant: Robert C. Feenstra, University of California at Davis and NBER
9:50 am
Aditya Aladangady, Federal Reserve Board
Shifrah Aron-Dine, Stanford University
Wendy Dunn, Federal Reserve Board
Laura Feiveson, Federal Reserve Board
Paul Lengermann, Federal Reserve Board
Claudia R. Sahm, Federal Reserve Board
From Transactions Data to Economic Statistics: Constructing Real-Time, High-Frequency, Geographic Measures of Consumer Spending (slides)
Discussant: Chris Wheat, JP Morgan Chase Institute
10:30 am
Session 2, Chair: David Wilcox, Federal Reserve Board, retired
11:00 am
Andrea Batch, Bureau of Economic Analysis
Jeffrey C. Chen, Bureau of Economic Analysis
Alexander Driessen, Bureau of Economic Analysis
Abe Dunn, Bureau of Economic Analysis
Kyle K. Hood, Bureau of Economic Analysis
Off to the Races: A Comparison of Machine Learning and Alternative Data for Predicting Economic Indicators (slides)
(discussant slides)
Discussant: Francis X. Diebold, University of Pennsylvania and NBER
11:40 am
Rishab Guha, Harvard University
Serena Ng, Columbia University and NBER
A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data (slides)
Discussant: Gary Cornwall, Bureau of Economic Analysis
12:20 pm
Lunch and Keynote Address:
Introduction, Ron Jarmin, U.S. Census Bureau

How Statistics Netherlands Intends to Use Big Data to Improve Official Statistics, While Reducing Costs and Lowering Burden
Tjark Tjin-A-Tsoi, Director General, Statistics Netherlands

Session 3, Chair: Barry Johnson, Internal Revenue Service
1:30 pm
Rebecca J. Hutchinson, U.S. Census Bureau
Investigating Alternative Data Sources to Reduce Respondent Burden in United States Census Bureau Retail Economic Data Products (slides)
1:50 pm
Carol Robbins, National Science Foundation
Gizem Korkmaz, University of Virginia
Jose Bayoan Santiago Calderon, University of Virginia
Claire Kelling, Pennsylvania State University
Sallie Keller, University of Virginia
Stephanie S. Shipp, University of Virginia
The Scope and Impact of Open Source Software: A Framework for Analysis and Preliminary Cost Estimates (slides)
2:10 pm
Tomaz Cajner, Federal Reserve Board
Leland D. Crane, Federal Reserve Board
Ryan Decker, Federal Reserve Board
Adrian Hamins-Puertolas, Federal Reserve Board
Christopher Kurz, Federal Reserve Board
Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data (slides)
2:30 pm
Andrew L. Baer, International Monetary Fund
J. Bradford Jensen, Georgetown University and NBER
Shawn D. Klimek, U.S. Census Bureau
Lisa Singh, Georgetown University
Joseph Staudt, U.S. Census Bureau
Yifang Wei, Georgetown University
Automating Response Evaluation for Franchising Questions on the 2017 Economic Census (slides)
2:50 pm
Session 4, Chair: David Wessel, Brookings Institution
3:20 pm
Marina Gindelsky, Bureau of Economic Analysis
Jeremy Moulton, University of North Carolina, Chapel Hill
Scott A. Wentland, Bureau of Economic Analysis
Valuing Housing Services in the Era of Big Data: A User Cost Approach Leveraging Zillow Microdata (slides)
Discussant: Raven Molloy, Federal Reserve Board
4:00 pm
Abe Dunn, Bureau of Economic Analysis
Dana Goldman, University of Southern California and NBER
John Romley, University of Southern California
Neeraj Sood, University of Southern California and NBER
Quantifying Productivity Growth in Health Care Using Insurance Claims and Administrative Data (slides)
Discussant: Helen G. Levy, University of Michigan and NBER
4:40 pm
Edward L. Glaeser, Harvard University and NBER
Hyunjin Kim, Harvard University
Michael Luca, Harvard University and NBER
Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity
Discussant: Michael Cafarella, University of Michigan
5:20 pm
5:30 pm
CRIW Membership Meeting
Katharine Abraham, University of Maryland and NBER
Saturday, March 16
8:30 am
Continental Breakfast
Session 5, Chair: Emi Nakamura, University of California at Berkeley and NBER
9:00 am
David Copple, Bank of England
Bradley J. Speigner, Bank of England
Arthur Turrell, Bank of England
Transforming Naturally Occurring Text Data into Economic Statistics: The Case of Online Job Vacancy Postings (slides)
Discussant: Ayşegül Şahin, University of Texas at Austin and NBER
9:40 am
Sudip Bhattacharjee, University of Connecticut
John Cuffe, U.S. Census Bureau
Ugochukwu Etudo, University of Connecticut
Justin Smith, U.S. Census Bureau
Nevada Basdeo, U.S. Census Bureau
Using Public Data to Generate Industrial Classification Codes (slides)
10:00 am
Don Fast, Bureau of Labor Statistics
Susan Fleck, Bureau of Labor Statistics
Measuring Export Price Movements With Administrative Trade Data (slides)
10:20 am
David Friedman, Bureau of Labor Statistics
Crystal G. Konny, Bureau of Labor Statistics
Brendan K. Williams, Bureau of Labor Statistics
Big Data in the U.S. Consumer Price Index: Experiences & Plans (slides)
10:40 am
Session 6, Chair: Brent Moulton, Bureau of Economic Analysis, retired
11:10 am
W. Erwin Diewert, University of British Columbia and NBER
Robert C. Feenstra, University of California at Davis and NBER
Estimating the Benefits of New Products (slides)
Estimating the Benefits of New Products: Some Approximations
Discussant: Marshall B. Reinsdorf, International Monetary Fund
11:50 am
Pick up boxed lunch
Session 7, Chair: Daniel Goroff, Alfred P. Sloan Foundation
12:00 pm
Katharine G. Abraham, University of Maryland and NBER
Margaret Levenstein, University of Michigan
Matthew D. Shapiro, University of Michigan and NBER
Securing Commercial Data for Economic Statistics
12:40 pm
Concluding Session
1:00 pm
NBER Videos

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