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When Econometrics Meets Machine Learning

dc.contributor.authorZheng, E.
dc.contributor.authorTan, Y.
dc.contributor.authorGoes, P.
dc.contributor.authorChellappa, R.
dc.contributor.authorWu, D.J.
dc.contributor.authorShaw, M.
dc.contributor.authorSheng, O.
dc.contributor.authorGupta, A.
dc.date.accessioned2023-12-22T05:06:04Z
dc.date.available2023-12-22T05:06:04Z
dc.date.issued2017-12
dc.identifier.citationZheng, E., Tan, Y., Goes, P., Chellappa, R., Wu, D. J., Shaw, M., Sheng, O., & Gupta, A. (2017). When Econometrics Meets Machine Learning. Data and Information Management, 1(2), 75–83.
dc.identifier.issn2543-9251
dc.identifier.doi10.1515/dim-2017-0012
dc.identifier.urihttp://hdl.handle.net/10150/670543
dc.language.isoen
dc.publisherElsevier Ltd
dc.rights© 2017 Eric Zheng el al. Published by De Gruyter Open. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjecteconometrics
dc.subjectexplanation
dc.subjectinformation system
dc.subjectintegration
dc.subjectmachine learning
dc.subjectprediction
dc.titleWhen Econometrics Meets Machine Learning
dc.typeArticle
dc.typetext
dc.contributor.departmentEller College of Management, University of Arizona
dc.identifier.journalData and Information Management
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal published version
dc.source.journaltitleData and Information Management
refterms.dateFOA2023-12-22T05:06:04Z


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© 2017 Eric Zheng el al. Published by De Gruyter Open. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Except where otherwise noted, this item's license is described as © 2017 Eric Zheng el al. Published by De Gruyter Open. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.