CRIW Conference: Big Data for 21st Century Economic Statistics
Katharine G. Abraham, Ron S. Jarmin, Brian Moyer, and Matthew D. Shapiro, Organizers
March 15-16, 2019
Supported by the Alfred P. Sloan Foundation
Washington, DC
| 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, U.S. Census Bureau David Johnson, National Academies of Sciences, Engineering and Medicine Matthew D. Shapiro, University of Michigan and NBER Re-Engineering Key National Economic Indicators
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| 9:50 am |
Aditya Aladangady, University of Michigan Shifrah Aron-Dine, Stanford University Wendy Dunn, Federal Reserve Board Laura Feiveson, U. S. Department of Treasury Paul Lengermann, Federal Reserve Board Claudia R. Sahm, Jain Family Institute From Transactions Data to Economic Statistics: Constructing Real-Time, High-Frequency, Geographic Measures of Consumer Spending
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| 10:30 am | Break | |||
| 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 (discussant slides)
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| 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
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| 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 |
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Session 3, Chair: Barry Johnson, Internal Revenue Service |
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| 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 |
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| 1:50 pm |
Carol Robbins, National Science Foundation Gizem Korkmaz, Westat Jose Bayoan Santiago Calderon, Bureau of Economic Analysis Claire Kelling, Pennsylvania State University Sallie Keller, U.S. Census Bureau Stephanie S. Shipp, University of Virginia The Scope and Impact of Open Source Software: A Framework for Analysis and Preliminary Cost Estimates |
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| 2:10 pm |
Tomaz Cajner, Federal Reserve Board Leland D. Crane, Federal Reserve Board of Governors Ryan Decker, Federal Reserve Board Adrian Hamins-Puertolas, Federal Reserve Board of Governors Christopher Kurz, Federal Reserve Board Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data |
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| 2:30 pm |
Andrew L. Baer, International Monetary Fund J. Bradford Jensen, Georgetown University and NBER Shawn D. Klimek, Department of Commerce 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 |
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| 2:50 pm | Break | |||
| 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
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| 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
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| 4:40 pm |
Edward L. Glaeser, Harvard University and NBER Hyunjin Kim, INSEAD Michael Luca, Harvard University and NBER Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity
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| 5:20 pm | Adjourn | |||
| 5:30 pm |
CRIW Membership Meeting Katharine Abraham, University of Maryland and NBER |
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| 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
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| 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 |
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| 10:00 am |
Don Fast, Bureau of Labor Statistics Susan Fleck, Bureau of Labor Statistics Measuring Export Price Movements With Administrative Trade Data |
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| 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 |
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| 10:40 am | Break | |||
| 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, Davis and NBER Estimating the Benefits of New Products Estimating the Benefits of New Products: Some Approximations
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| 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 |
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| 12:40 pm | Concluding Session | |||
| 1:00 pm | Adjourn | |||