The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Inference on Causal Effects in a Generalized Regression Kink Design
Open accessAbstract
A.1. Proofs of Propositions 1 and 2IN ORDER TO PROVE PROPOSITION 1, we first present and prove the following lemmas.LEMMA 1: Let ϕ(x t) : I × [c d] → R, where I is a compact subset of R m .Suppose ϕ(x t) and its partial derivative, ϕ 2 (x t), are continuous and that ϕ is integrable with respect to the probability measure α for each t.Then f (t) = ϕ(x t) dα(x) is continuously differentiable on [c d].PROOF: By Theorem 5 (p.97) of Roussas (2004), f (t) = ϕ 2 (x t) dα(x) for all t ∈ [c d].Let s 1 s 2 ∈ [c d]:
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
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-citationRegression discontinuity designs: A guide to practice
Imbens, G. W., & Lemieux, T. (2008) · Journal of Econometrics · doi:10.1016/j.jeconom.2007.05.001 · Cited by 3,694
Manipulation 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
Local Polynomial Modelling and its Applications
Fan, J., & Gijbels, I. (1994) · Springer eBooks · doi:10.1007/978-1-4899-3150-4 · Cited by 2,849
Identification and Estimation of Local Average Treatment Effects
Angrist, J., & Imbens, G. (1995) · National Bureau of Economic Research · doi:10.3386/t0118 · Cited by 2,808
Optimal Bandwidth Choice for the Regression Discontinuity Estimator
Imbens, G., & Kalyanaraman, K. (2012) · The Review of Economic Studies · doi:10.1093/restud/rdr043 · Cited by 2,126
Randomized experiments from non-random selection in U.S. House elections
Lee, D. S. (2008) · Journal of Econometrics · doi:10.1016/j.jeconom.2007.05.004 · Cited by 1,730
Self-citationRegression-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
Unemployment Insurance And Unemployment Spells
Meyer, B. (1988) · National Bureau of Economic Research · doi:10.3386/w2546 · Cited by 1,270
Cited by
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
Why high-order polynomials should not be used in regression discontinuity designs
Gelman, A., & Imbens, G. (2019) · Journal of Business & Economic Statistics · doi:10.1080/07350015.2017.1366909 · Cited by 1,101
Rdrobust: Software for Regression-discontinuity Designs
Calonico, S., Cattaneo, M. D., Farrell, M. H., & Titiunik, R. (2017) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x1701700208 · Cited by 891
Robust Data-Driven Inference in the Regression-Discontinuity Design
Calonico, S., Cattaneo, M. D., & Titiunik, R. (2014) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x1401400413 · Cited by 706
Inference in Regression Discontinuity Designs with a Discrete Running Variable
Kolesár, M., & Rothe, C. (2018) · American Economic Review · doi:10.1257/aer.20160945 · Cited by 269
Reference Dependence in the Housing Market
Andersen, S., Badarinza, C., Liu, L., Marx, J., & Ramadorai, T. (2022) · American Economic Review · doi:10.1257/aer.20191766 · Cited by 111
Marx, B. M., & Turner, L. J. (2018) · American Economic Journal: Applied Economics · doi:10.1257/app.20160127 · Cited by 69
Not whether, but where? Pell grants and college choices
Carruthers, C. K., & Welch, J. G. (2019) · Journal of Public Economics · doi:10.1016/j.jpubeco.2018.11.006 · Cited by 39
Pell Grants and Student Success: Evidence from the Universe of Federal Aid Recipients
Eng, A., & Matsudaira, J. (2021) · Journal of Labor Economics · doi:10.1086/712556 · Cited by 26
Metadata
- Authors
- Card, D., Lee, D. S., Pei, Z., & Weber, A.
- Venue
- Econometrica
- Publisher
- The Econometric Society
- Published
- 2015
- Volume
- 83
- Issue
- 6
- Pages
- 2453-2483
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W3122336779
- Cited by
- 269
- References
- 41
- FWCI
- 21.90
- Type
- journal article
- Language
- en
- Open access
- bronze
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
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.