Big data for twenty-first-century economic statistics
Alternative title: | Big data for 21st century economic statistics |
---|---|
Year of publication: |
2022
|
Other Persons: | Abraham, Katharine G. (ed.) ; Jarmin, Ronald S. (ed.) ; Moyer, Brian (ed.) ; Shapiro, Matthew D. (ed.) |
Institutions: | Conference on Research in Income and Wealth <2019, Washington, DC> |
Publisher: |
Chicago : The University of Chicago Press |
Subject: | Big Data | Big data | Datenerhebung | Data collection | Statistische Methode | Statistical method | Wirtschaftsindikator | Economic indicator | Wirtschaftsstatistik | Economic statistics | USA | United States |
Description of contents: | Table of Contents [gbv.de] |
Published items: |
15 hits in ECONIS - Online Catalogue of the ZBW
|
Extent: | xi, 489 Seiten Illustrationen |
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Series: | Studies in income and wealth. - Chicago [u.a.] : Univ. of Chicago Press, ISSN 0069-8652, ZDB-ID 419902-9. - Vol. volume 79 |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Konferenzschrift |
Language: | English |
Notes: | "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 Bethesda, MD, on March 15 - 16, 2019." - Page 14 Enthält Literaturangaben und Index |
ISBN: | 978-0-226-80125-4 ; 978-0-226-80139-1 |
Other identifiers: | 10.7208/chicago/9780226801391.001.0001 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
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