Zobraziť v EDS

Augmenting Household Expenditure Forecasts with Online Employee-generated Company Reviews.

Uložené v:
Podrobná bibliografia
Názov: Augmenting Household Expenditure Forecasts with Online Employee-generated Company Reviews.
Autori: Symitsi, Efthymia, Stamolampros, Panagiotis, Karatzas, Antonios
Zdroj: Public Opinion Quarterly; 2021 Supplement, Vol. 85, p463-491, 29p, 7 Charts
Predmety: CONSUMPTION (Economics), PRODUCT reviews, INTERNET, EMPLOYEES, CONSUMER behavior, BUSINESS forecasting, ECONOMIC policy
Abstrakt: We assess the ability of online employee-generated content in predicting consumption expenditures. In so doing, we aggregate millions of employee expectations for the next six-month business outlook of their employer and build an employee sentiment index. We test whether forward-looking employee sentiment can contribute to baseline models when forecasting aggregate consumption in the United States and compare its performance to well-established, survey-based consumer sentiment indexes. We reveal that online employee opinions have incremental information that can be used to augment the accuracy of consumption forecasting models and inform economic policy decisions. [ABSTRACT FROM AUTHOR]
Copyright of Public Opinion Quarterly is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáza: Complementary Index
Popis
Abstrakt:We assess the ability of online employee-generated content in predicting consumption expenditures. In so doing, we aggregate millions of employee expectations for the next six-month business outlook of their employer and build an employee sentiment index. We test whether forward-looking employee sentiment can contribute to baseline models when forecasting aggregate consumption in the United States and compare its performance to well-established, survey-based consumer sentiment indexes. We reveal that online employee opinions have incremental information that can be used to augment the accuracy of consumption forecasting models and inform economic policy decisions. [ABSTRACT FROM AUTHOR]
ISSN:0033362X
DOI:10.1093/poq/nfab017