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


Journal

Public opinion quarterly
ISSN: 0033-362X
Titre abrégé: Public Opin Q
Pays: United States
ID NLM: 19930130R

Informations de publication

Date de publication:
2021
Historique:
entrez: 13 12 2021
pubmed: 14 12 2021
medline: 14 12 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34899083
doi: 10.1093/poq/nfab017
pii: nfab017
pmc: PMC8655719
doi:

Types de publication

Journal Article

Langues

eng

Pagination

463-491

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of American Association for Public Opinion Research.

Références

PLoS One. 2015 Oct 05;10(10):e0139701
pubmed: 26437454
Public Opin Q. 2016 Spring;80(1):180-211
pubmed: 27257310

Auteurs

Classifications MeSH