A reconsideration of the failure of an S-shaped response of TFP to technological diffusion news
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nam, Deok woo | - |
dc.contributor.author | Li, Xiaole | - |
dc.date.accessioned | 2023-05-09T05:39:07Z | - |
dc.date.available | 2023-05-09T05:39:07Z | - |
dc.date.created | 2023-05-03 | - |
dc.date.issued | 2022-11 | - |
dc.identifier.issn | 1226-4261 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/185516 | - |
dc.description.abstract | We re-examine the empirical results on news shocks to total factor productivity (TFP) by identifying technological diffusion news that produces an S-shaped response of TFP. By revisiting Sims (2016), we show that Barsky and Sims’ (2011) result that TFP rises immediately following a favorable news shock, which is interpreted as a failure to identify diffusion news, is sensitive; even within Barsky and Sims’ identification framework, the identified news shock is found to produce an S-shaped response of TFP, as seen in Beaudry and Portier (2006). Furthermore, we show that VAR information content and measurement errors can play an important role in identifying technological diffusion news. We document that stock prices convey more valuable information about diffusion news than consumer confidence and that when the identification of news shocks is less affected by measurement error shocks to TFP, the identified news shock is likely to capture diffusion news. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 한양대학교 경제연구소 | - |
dc.title | A reconsideration of the failure of an S-shaped response of TFP to technological diffusion news | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Nam, Deok woo | - |
dc.identifier.doi | 10.17256/jer.2022.27.3.004 | - |
dc.identifier.bibliographicCitation | Journal of Economic Research (JER), v.27, no.3, pp.255 - 291 | - |
dc.relation.isPartOf | Journal of Economic Research (JER) | - |
dc.citation.title | Journal of Economic Research (JER) | - |
dc.citation.volume | 27 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 255 | - |
dc.citation.endPage | 291 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART002900046 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Total factor productivity (TFP) | - |
dc.subject.keywordAuthor | News shocks | - |
dc.subject.keywordAuthor | Technological diffusion news | - |
dc.subject.keywordAuthor | Maximum forecast error variance approaches | - |
dc.identifier.url | https://www.kci.go.kr/kciportal/landing/article.kci?arti_id=ART002900046#none | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.