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Cited by 258

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

How's the Job? Well-Being and Social Capital in the Workplace

Helliwell, John F., Huang, Haifang·2010·ILR Review

Abstract

The authors first investigate how income and job characteristics affect life satisfaction, then estimate compensating differentials for non-financial job characteristics. To address potential problems with using life satisfaction data as dependent variables, they draw on three Canadian surveys (conducted in the years 2002–2003) with different samples and questions, and they use individual personality measures, various robustness checks, and cross-testing with measures of domain satisfaction. The life satisfaction results show strikingly large values for non-financial job characteristics, especially workplace trust. For example, a one-third-standard-deviation increase in trust in management is equivalent to an income increase of more than one-third. These results, if confirmed by further research in other settings, suggest either that it is very costly to build and maintain workplace trust or that there are opportunities to improve workplace environments so as to increase both life satisfaction and workplace efficiency.

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Metadata

Authors
Helliwell, J. F., & Huang, H.
Venue
ILR Review
Published
2010-01
Volume
63
Issue
2
Pages
205-227
ISSN
  • 0019-7939 (ISSN-L)
  • 2162-271X
OpenAlex
W3124837775
Cited by
258
References
58
FWCI
42.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: How's the Job? Well-Being and Social Capital in the Workplace. https://app.cochat.ai/papers/10.1177/001979391006300202
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Helliwell, J. F., & Huang, H. (2010). How's the Job? Well-Being and Social Capital in the Workplace. ILR Review. https://doi.org/10.1177/001979391006300202

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.