Data and the Aggregate Economy.
Recent data technology innovations, such as artificial intelligence and machine learning, have transformed the production of knowledge and increased the importance of data. This review explores how data—digitized information—has been modeled within classic macroeconomic frameworks. It compares the e...
| Publicado en: | Journal of Economic Literature Vol. 62; no. 2; pp. 458 - 485 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Economic Association
Jun2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=177658371&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 177658371 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00220515 JEL jtl: Journal of Economic Literature issn: 00220515 maglogo: N pubinfo: dt: Jun2024 vid: 62 iid: 2 pid: 22 pub: American Economic Association artinfo: ui: 177658371 10.1257/jel.20221580 ppf: 458 ppct: 27 formats: tig: atl: Data and the Aggregate Economy. aug: au: Veldkamp, Laura Chung, Cindy affil: Columbia Graduate School of Business, NBER, and CEPR. Stanford Graduate School of Business. su: Economic forecasting Artificial intelligence Process optimization Machine learning Learning by doing (Economics) Production increases sug: subj: Economic forecasting Artificial intelligence Process optimization Machine learning Learning by doing (Economics) Production increases ab: Recent data technology innovations, such as artificial intelligence and machine learning, have transformed the production of knowledge and increased the importance of data. This review explores how data—digitized information—has been modeled within classic macroeconomic frameworks. It compares the economics of data to other concepts such as ideas, patents, and learning-by-doing. This paper also shows potential ways to model applications for data, including innovation, process optimization, and matching. Because this research area is nascent, much of the article is devoted to open questions and directions for future data economy research. (JEL C80, D21, D83, E23, E24, J23) pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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