Big Data for 21st Century Economic Statistics

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

Conference held March 15-16, 2019
Forthcoming from University of Chicago Press
in NBER Book Series Studies in Income and Wealth

The following chapters are preliminary drafts unless otherwise noted. They have not yet been subjected to the formal review process of the NBER. This page will be updated as individual chapters are revised.

Table of Contents

Introduction: Katharine G. Abraham, Ron S. Jarmin, Brian Moyer, Matthew D. Shapiro (bibliographic info)
1. Re-Engineering Key National Economic Indicators: Gabriel Ehrlich, John C. Haltiwanger, Ron S. Jarmin, David Johnson, Matthew D. Shapiro (bibliographic info) (download)
2. From Transactions Data to Economic Statistics: Constructing Real-Time, High-Frequency, Geographic Measures of Consumer Spending: Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, Claudia Sahm (bibliographic info) (download) version of July 9, 2019
3. Off to the Races: A Comparison of Machine Learning and Alternative Data for Predicting Economic Indicators: Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, Andrea Batch (bibliographic info) (download) version of July 9, 2019
4. A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data: Rishab Guha, Serena Ng (bibliographic info) (download) version of May 22, 2019 (Working Paper version)
5. Investigating Alternative Data Sources to Reduce Respondent Burden in United States Census Bureau Retail Economic Data Products: Rebecca J. Hutchinson (bibliographic info) (download)
6. The Scope and Impact of Open Source Software as Intangible Capital: A Framework for Measurement with an Application Based on the Use of R Packages: Carol Robbins, Gizem Korkmaz, Jose Bayoan Santiago Calderon, Daniel Chen, Aaron Schroeder, Claire Kelling, Stephanie S. Shipp, Sallie Keller (bibliographic info) (download)
7. Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data: Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, Christopher Kurz (bibliographic info) (download) version of July 9, 2019
8. Automating Response Evaluation for Franchising Questions on the 2017 Economic Census: Andrew L. Baer, J. Bradford Jensen, Shawn D. Klimek, Lisa Singh, Joseph Staudt, Yifang Wei (bibliographic info) (download) (Working Paper version)
9. Valuing Housing Services in the Era of Big Data: A User Cost Approach Leveraging Zillow Microdata: Marina Gindelsky, Jeremy Moulton, Scott A. Wentland (bibliographic info) (download)
10. Quantifying Productivity Growth in Health Care Using Insurance Claims and Administrative Data: John A. Romley, Abe Dunn, Dana Goldman, Neeraj Sood (bibliographic info) (download)
11. Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity: Edward L. Glaeser, Hyunjin Kim, Michael Luca (bibliographic info) (download) version of July 9, 2019 (Working Paper version)
12. Transforming Naturally Occurring Text Data into Economic Statistics: The Case of Online Job Vacancy Postings: Arthur Turrell, Bradley J. Speigner, Jyldyz Djumalieva, David Copple, James Thurgood (bibliographic info) (download) version of July 9, 2019 (Working Paper version)
13. Using Public Data to Generate Industrial Classification Codes: John Cuffe, Sudip Bhattacharjee, Ugochukwu Edudo, Justin Smith, Nevada Basdeo (bibliographic info)
14. Measuring Export Price Movements with Administrative Trade Data: Don A. Fast, Susan E. Fleck (bibliographic info) (download)
15. Big Data in the U.S. Consumer Price Index: Experiences and Plans: Crystal G. Konny, Brendan K. Williams, David M. Friedman (bibliographic info) (download) version of June 27, 2019
16. Estimating the Benefits of New Products: Some Approximations: W. Erwin Diewert, Robert C. Feenstra (bibliographic info) (download) version of April 24, 2019
17. Securing Commercial Data for Economic Statistics: Katharine G. Abraham, Margaret Levenstein, Matthew D. Shapiro (bibliographic info)
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