The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Unnatural Experiments? Estimating the Incidence of Endogenous Policies
Abstract
There are numerous empirical studies that exploit variation in policies over space and time in the U.S. federal system. If state policy making is purposeful action, responsive to economic and political conditions within the state, then it is necessary to identify and control for the forces that lead to these policy changes. This paper investigates the implications of policy endogeneity for a specific policy context – workers’ compensation benefits. We contrast different methods of estimation and their pros and cons in this context.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Economic Consequences of Parental Leave Mandates: Lessons from Europe
Ruhm, C. J. (1998) · The Quarterly Journal of Economics · doi:10.1162/003355398555586 · Cited by 858
Cited by
How Much Should We Trust Differences-in-Differences Estimates?
Bertrand, M., Duflo, E., & Mullainathan, S. (2004) · The Quarterly Journal of Economics · doi:10.1162/003355304772839588 · Cited by 10,641
Difference-in-differences with variation in treatment timing
Goodman-Bacon, A. (2021) · Journal of Econometrics · doi:10.1016/j.jeconom.2021.03.014 · Cited by 8,046
Recent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
Semiparametric Difference-in-Differences Estimators
Abadie, A. (2005) · The Review of Economic Studies · doi:10.1111/0034-6527.00321 · Cited by 2,286
Women as Policy Makers: Evidence from a Randomized Policy Experiment in India
Chattopadhyay, R., & Duflo, E. (2004) · Econometrica · doi:10.1111/j.1468-0262.2004.00539.x · Cited by 2,284
Metadata
- Authors
- Besley, T., & Case, A.
- Venue
- The Economic Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-11-01
- Volume
- 110
- Issue
- 467
- Pages
- 672-694
- ISSN
- 0013-0133 (ISSN-L)
- 1468-0297
- OpenAlex
- W2157635736
- Cited by
- 682
- References
- 1
- FWCI
- 15.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- doi.wiley.com/10.1002/tdm_license_1.1 (tdm, 5417 d)
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Unnatural Experiments? Estimating the Incidence of Endogenous Policies. https://app.cochat.ai/papers/10.1111/1468-0297.00578
- The paper
- Besley, T., & Case, A. (2000). Unnatural Experiments? Estimating the Incidence of Endogenous Policies. The Economic Journal. https://doi.org/10.1111/1468-0297.00578
Data sources
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.