Big Data for Twenty-First-Century Economic Statistics (Record no. 256437)
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| 001 - CONTROL NUMBER | |
| control field | on1290485460 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230817090252.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
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| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220101s2022 ilu o ||| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | EBLCP |
| Language of cataloging | eng |
| Transcribing agency | EBLCP |
| Modifying agency | OCLCO |
| -- | DEGRU |
| -- | OCLCO |
| -- | N$T |
| 019 ## - | |
| -- | 1290021510 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 022680139X |
| International Standard Book Number | 9780226801391 |
| Qualifying information | (electronic bk.) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | 3104441 |
| -- | (N$T) |
| System control number | (OCoLC)1290485460 |
| Canceled/invalid control number | (OCoLC)1290021510 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HB143 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 330.072/7 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Abraham, Katharine G. |
| 245 10 - TITLE STATEMENT | |
| Title | Big Data for Twenty-First-Century Economic Statistics |
| Medium | [electronic resource]. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Chicago : |
| Name of publisher, distributor, etc. | University of Chicago Press, |
| Date of publication, distribution, etc. | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (502 p.). |
| 490 1# - SERIES STATEMENT | |
| Series statement | National Bureau of Economic Research Studies in Income and Wealth ; |
| Volume/sequential designation | v.79 |
| 500 ## - GENERAL NOTE | |
| General note | Description based upon print version of record. |
| 505 00 - FORMATTED CONTENTS NOTE | |
| Title | Frontmatter -- |
| -- | Contents -- |
| -- | Prefatory Note -- |
| -- | Introduction: Big Data for Twenty- First- Century Economic Statistics: The Future Is Now -- |
| -- | I. Toward Comprehensive Use of Big Data in Economic Statistics -- |
| -- | 1. Reengineering Key National Economic Indicators -- |
| -- | 2. Big Data in the US Consumer Price Index -- |
| -- | 3. Improving Retail Trade Data Products Using Alternative Data Sources -- |
| -- | 4. From Transaction Data to Economic Statistics -- |
| -- | 5. Improving the Accuracy of Economic Measurement with Multiple Data Sources -- |
| -- | II. Uses of Big Data for Classification -- |
| -- | 6. Transforming Naturally Occurring Text Data into Economic Statistics -- |
| -- | 7. Automating Response Evaluation for Franchising Questions on the 2017 Economic Census -- |
| -- | 8. Using Public Data to Generate Industrial Classification Codes -- |
| -- | III. Uses of Big Data for Sectoral Measurement -- |
| -- | 9. Nowcasting the Local Economy -- |
| -- | 10. Unit Values for Import and Export Price Indexes -- |
| -- | 11. Quantifying Productivity Growth in the Delivery of Important Episodes of Care within the Medicare Program Using Insurance Claims and Administrative Data -- |
| -- | 12. Valuing Housing Services in the Era of Big Data -- |
| -- | IV. Methodological Challenges and Advances -- |
| -- | 13. Off to the Races -- |
| -- | 14. A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data -- |
| -- | 15. Estimating the Benefits of New Products -- |
| -- | Contributors -- |
| -- | Author Index -- |
| -- | Subject Index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data--such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers--has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Added to collection customer.56279.3 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data. |
| Topical term or geographic name entry element | Economics |
| General subdivision | Statistical methods |
| -- | Data processing. |
| Topical term or geographic name entry element | Donn�ees volumineuses. |
| Topical term or geographic name entry element | �Economie politique |
| General subdivision | M�ethodes statistiques |
| -- | Informatique. |
| Topical term or geographic name entry element | BUSINESS & ECONOMICS / General. |
| Source of heading or term | bisacsh |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jarmin, Ron S. |
| Personal name | Moyer, Brian C. |
| Personal name | Shapiro, Matthew D. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Abraham, Katharine G. |
| Title | Big Data for Twenty-First-Century Economic Statistics |
| Place, publisher, and date of publication | Chicago : University of Chicago Press,c2022 |
| International Standard Book Number | 9780226801254 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Studies in income and wealth. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | EBSCOhost |
| Uniform Resource Identifier | <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3104441">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3104441</a> |
| 938 ## - | |
| -- | De Gruyter |
| -- | DEGR |
| -- | 9780226801391 |
| -- | ProQuest Ebook Central |
| -- | EBLB |
| -- | EBL6827947 |
| -- | EBSCOhost |
| -- | EBSC |
| -- | 3104441 |
| 994 ## - | |
| -- | 92 |
| -- | N$T |
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