Augmenting household expenditure forecasts with online employee-generated company reviews

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Symitsi, Efthymia, Stamolampros, Panagiotis and Karatzas, Antonios (2021) Augmenting household expenditure forecasts with online employee-generated company reviews. Public Opinion Quarterly, 85 (S1). 463–491. ISSN 1537-5331

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: communication,history,sociology and political science,social sciences(all),history and philosophy of science ,/dk/atira/pure/subjectarea/asjc/3300/3315
Faculty \ School: Faculty of Social Sciences > Norwich Business School
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Depositing User: LivePure Connector
Date Deposited: 25 Mar 2021 00:48
Last Modified: 01 Nov 2025 18:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/79556
DOI: 10.1093/poq/nfab017

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