Big data for twenty-first-century economic statistics

Author(s)

• Abraham, Katharine Gail
• Jarmin, Ronald S.
• Moyer, Brian
• Shapiro, Matthew D. (Matthew David)

Bibliographic Information

Big data for twenty-first-century economic statistics

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

（Studies in income and wealth, v. 79）

University of Chicago Press, 2022

• : cloth

Other Title

Big data for 21st century economic statistics

Note

"This volume contains revised versions of the papers presented at the Conference on Research in Income and Wealth entitled 'Big Data for 21st Century Economic Statistics,' held in Washington, DC, on March 15-16, 2019"--Prefatory note

Includes bibliographical references and indexes

• NCID: BC13500922
• ISBN:
  • 9780226801254
• LCCN: 2021030585
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Chicago
• Pages/Volumes: xi, 489 p.
• Size: 24 cm
• Classification:
  • LCC : HB143.5
  • DC23 : 330.072/7
  • DC23 : 330.0727
• Subject Headings:
  • LCSH : Economics -- Statistical methods -- Data processing
  • LCSH : Big data
  • LCSH : Machine learning
• Parent Bibliography ID:
  • BA00550140