The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Randomized experiments from non-random selection in U.S. House elections
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Citations
Cites
Regression-discontinuity analysis: An alternative to the ex post facto experiment.
Thistlethwaite, D. L., & Campbell, D. T. (1960) · Journal of Educational Psychology · doi:10.1037/h0044319 · Cited by 1,469
Van Der Klaauw, W. (2002) · International Economic Review · doi:10.1111/1468-2354.t01-1-00055 · Cited by 722
Cited by
Mostly Harmless Econometrics: An Empiricist's Companion
Angrist, J. D., & Pischke, J.-S. (2009) · doi:10.1515/9781400829828 · Cited by 9,467
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
Regression discontinuity designs in economics
Lee, D. S., & Lemieux, T. (2010) · Journal of Economic Literature · doi:10.1257/jel.48.2.281 · Cited by 4,534
Self-citationManipulation of the Running Variable in the Regression Discontinuity Design: A Density Test,
McCrary, J. (2008) · Journal of Econometrics · doi:10.1016/j.jeconom.2007.05.005 · Cited by 3,600
Robust nonparametric confidence intervals for regression-discontinuity designs
Calonico, S., Cattaneo, M. D., & Titiunik, R. (2014) · Econometrica · doi:10.3982/ecta11757 · Cited by 3,036
Metadata
- Authors
- Lee, D. S.
- Venue
- Journal of Econometrics
- Publisher
- Elsevier BV
- Published
- 2008-02
- Volume
- 142
- Issue
- 2
- Pages
- 675-697
- ISSN
- 0304-4076 (ISSN-L)
- OpenAlex
- W157449371
- Cited by
- 1,730
- References
- 2
- FWCI
- 55.56
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Lee, D. S. (2008). Randomized experiments from non-random selection in U.S. House elections. Journal of Econometrics. https://doi.org/10.1016/j.jeconom.2007.05.004
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.
