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Mostly Harmless Econometrics: An Empiricist's Companion
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Citations
Cited by
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
Endogeneity in Empirical Corporate Finance1
Roberts, M. R., & Whited, T. M. (2013) · Handbook of the Economics of Finance · doi:10.1016/b978-0-44-453594-8.00007-0 · Cited by 2,459
What's trending in difference-in-differences? A synthesis of the recent econometrics literature
Roth, J., Sant’Anna, P. H. C., Bilinski, A., & Poe, J. (2023) · Journal of Econometrics · doi:10.1016/j.jeconom.2023.03.008 · Cited by 2,027
ESG performance and firm value: The moderating role of disclosure
Fatemi, A., Glaum, M., & Kaiser, S. (2018) · Global Finance Journal · doi:10.1016/j.gfj.2017.03.001 · Cited by 1,611
The erosion of colonial trade linkages after independence
Head, K., Mayer, T., & Ries, J. (2010) · Journal of International Economics · doi:10.1016/j.jinteco.2010.01.002 · Cited by 1,089
Metadata
- Authors
- Kmenta, J.
- Venue
- Business Economics
- Published
- 2010-01
- Volume
- 45
- Issue
- 1
- Pages
- 75-76
- ISSN
- 0007-666X (ISSN-L)
- 1554-432X
- OpenAlex
- W1978371266
- Cited by
- 2,495
- References
- 0
- FWCI
- 60.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
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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.
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How to cite
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- CoChat. (2026). Citation check: Mostly Harmless Econometrics: An Empiricist's Companion. https://app.cochat.ai/papers/10.1057/be.2009.37
- The paper
- Kmenta, J. (2010). Mostly Harmless Econometrics: An Empiricist's Companion. Business Economics. https://doi.org/10.1057/be.2009.37
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.
