lee2008: Lee (2008) Dataset
In MIRDD: Diagnostic Tool by Multiple Imputation for Regression Discontinuity Designs
lee2008 R Documentation
Lee (2008) Dataset
Description
A dataset used in Takahashi (2023).
Usage
data(lee2008)
Format
A data frame with 6558 observations on the following 3 variables.
- y1
a numeric vector (dependent variable). Democrat vote share election at t + 1.
- x1
a numeric vector (running variable). The cutoff point is where x1 = 0. Democratic vote share at t.
- x2
a numeric vector (additional covariate). Democratic vote share at t - 1
Source
Lee, D. S. 2008. Randomized experiments from non-random selection in U.S. House elections. Journal of Econometrics 142 (2): 675-697.
References
Takahashi, M. 2023. Multiple imputation regression discontinuity designs: Alternative to regression discontinuity designs to estimate the local average treatment effect at the cutoff. Communications in Statistics - Simulation and Computation 52 (9): 4293-4312. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/03610918.2021.1960374")}
MIRDD documentation built on May 15, 2026, 9:07 a.m.
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| lee2008 | R Documentation |
Lee (2008) Dataset
Description
A dataset used in Takahashi (2023).
Usage
data(lee2008)
Format
A data frame with 6558 observations on the following 3 variables.
- y1
a numeric vector (dependent variable). Democrat vote share election at t + 1.
- x1
a numeric vector (running variable). The cutoff point is where x1 = 0. Democratic vote share at t.
- x2
a numeric vector (additional covariate). Democratic vote share at t - 1
Source
Lee, D. S. 2008. Randomized experiments from non-random selection in U.S. House elections. Journal of Econometrics 142 (2): 675-697.
References
Takahashi, M. 2023. Multiple imputation regression discontinuity designs: Alternative to regression discontinuity designs to estimate the local average treatment effect at the cutoff. Communications in Statistics - Simulation and Computation 52 (9): 4293-4312. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/03610918.2021.1960374")}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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