Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing
Abstract
Over the past 3 decades, the U.S. Temporary Help Services (THS) industry grew five times more rapidly than overall employment. Contemporaneously, courts in 46 states adopted exceptions to the common law doctrine of employment at will that limited employers’ discretion to terminate workers and opened them to litigation. This article assesses the contribution of “unjust dismissal” doctrine to THS employment specifically, and outsourcing more generally, finding that it is substantial—explaining 20% of the growth of THS between 1973 and 1995 and contributing 500,000 additional outsourced workers in 2000. States with smaller declines in unionization also saw substantially more THS growth.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The proposed pre-trends test differs from the standard event study pre-trends test (Autor, 2003), which has been shown to be invalid when treatment effects are heterogeneous (Abraham and Sun, 2018).
“This test differs from the standard event study pre-trends test (see Autor, 2003), which has been shown to be invalid when treatment effects are heterogeneous (see Abraham and Sun, 2018).”
From Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects (2020) · cites this paper as Autor, 2003
Cited by
Sorted by citations
Mostly Harmless Econometrics: An Empiricist's Companion
Angrist, J. D., & Pischke, J.-S. (2009) · doi:10.1515/9781400829828 · Cited by 9,467 · see citing works
Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects
de Chaisemartin, C., & D’Haultfœuille, X. (2020) · American Economic Review · doi:10.1257/aer.20181169 · Cited by 5,031 · see citing works
“This test differs from the standard event study pretrends test ( see Autor 2003 , which has been shown to be invalid when treatment effects are heterogeneous ( see Abraham and Sun 2018 .”
Botero, J. C., Djankov, S., Porta, R. L., Lopez-de-Silanes, F., & Shleifer, A. (2004) · The Quarterly Journal of Economics · doi:10.1162/0033553042476215 · Cited by 2,124 · see citing works
The Estimation of Causal Effects by Difference-in-Difference Methods
Lechner, M. (2011) · Foundations and Trends® in Econometrics · doi:10.1561/0800000014 · Cited by 935 · see citing works
“They base their estimators on local linear kernel estimators, as do Bergemann et al. (2009). Acemoglu and Angrist (2001), whose empirical analysis is based on a very large sample and a fairly small number of discrete covariates, compute the respective means within the cells defined by the covariates and then weight th…”
BackgroundHAS DEMOCRATIZATION REDUCED INFANT MORTALITY IN SUB-SAHARAN AFRICA? EVIDENCE FROM MICRO DATA
Kudamatsu, M. (2012) · Journal of the European Economic Association · doi:10.1111/j.1542-4774.2012.01092.x · Cited by 373 · see citing works
Schmidheiny, K., & Siegloch, S. (2023) · Journal of Applied Econometrics · doi:10.1002/jae.2971 · Cited by 293 · see citing works
Dube, A., & Kaplan, E. (2010) · ILR Review · doi:10.1177/001979391006300206 · Cited by 203 · see citing works
Labor Market Intermediaries and the New Paradigm for Human Resources
Bonet, R., Cappelli, P., & Hamori, M. (2013) · Academy of Management Annals · doi:10.5465/19416520.2013.774213 · Cited by 199 · see citing works
Excess mortality during the Covid-19 pandemic: Early evidence from England and Wales
Vandoros, S. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.113101 · Cited by 125 · see citing works
Kochanova, A., Hasnain, Z., & Larson, B. (2020) · The World Bank Economic Review · doi:10.1093/wber/lhx024 · Cited by 116 · see citing works
Broadband Internet and social capital
Geraci, A., Nardotto, M., Reggiani, T., & Sabatini, F. (2022) · Journal of Public Economics · doi:10.1016/j.jpubeco.2021.104578 · Cited by 89 · see citing works
Local Journalism under Private Equity Ownership
Ewens, M., Gupta, A., & Howell, S. T. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3939405 · Cited by 21 · see citing works
Song, F., Agarwal, A., & Wen, W. (2024) · SSRN Electronic Journal (preprint) · doi:10.2139/ssrn.4856935 · Cited by 30 · see citing works
Skill-Biased Technical Change, Again? Online Gig Platforms and Local Employment
Guo, X., Cheng, Z. (., & Pavlou, P. A. (2025) · Information Systems Research · doi:10.1287/isre.2022.0307 · Cited by 4 · see citing works
Unveiling the Cost of Free: How an Ad-Sponsored Model Affects Serialized Digital Content Creation
Zhang, K., Wang, Q., Qiu, L., & Wang, N. (2024) · doi:10.2139/ssrn.4880861 · Cited by 10 · see citing works
- Authors
- Autor, D. H.
- Affiliations
- National Bureau of Economic Research (US)
- Corresponding author
- Autor, David H.
- ORCID
- Autor, David H.
- Venue
- Journal of Labor Economics
- Publisher
- University of Chicago Press
- Published
- 2003-01
- Volume
- 21
- Issue
- 1
- Pages
- 1-42
- ISSN
- 0734-306X (ISSN-L)
- 1537-5307
- OpenAlex
- W3121301164
- Cited by
- 1,534
- References
- 0
- Citations by year
- 2026: 108 · 2025: 118 · 2024: 84 · 2023: 110 · 2022: 134 · 2021: 155 · 2020: 150 · 2019: 134 · 2018: 126 · 2017: 84 · 2016: 66 · 2015: 34 · 2014: 32 · 2013: 37 · 2012: 21
- FWCI
- 92.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Labor Economics (publishedVersion)
- Topics
- Social Sciences › Political Science and International Relations › Labor Law and Work Dynamics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Law, Economics, and Judicial Systems
- Keywords
- temporary help services, at-will employment, labor litigation, unionization, state labor law, temporary agency work
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review