Randomized experiments from non-random selection in U.S. House elections

By David S. Lee. 2005

1,857 citations recorded by the source corpus.

Subfields: Education, Statistics and Probability

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Citations in the corpus

The State of Applied Econometrics - Causality and Policy Evaluation (2016, neutral): “Another way to assess robustness is to use the partial indentification or bounds literature originating with Manski [1990]. See Tamer [2010] for a recent review. In combination with reporting estimates based on the preferred specification that may lead to point identification, it may be useful to co”
Approximate permutation tests and induced order statistics in the regression discontinuity design (2015, methodology): “Finally, Section 6 implements our test to reevaluate the validity of the design in Lee (2008), a familiar application of the RDD to study incumbency advantage.”
Regression Discontinuity Applications with Rounding Errors in the Running Variable (2015, background): “One paper that specifically considers discreteness of an RD running variable is Lee and Card (2008).”
A Practical Introduction to Regression Discontinuity Designs (2019, methodology): “Lee (2008) applies and extends these ideas to the context of RD designs, and Canay and Kamat (2018) develop a permutation inference approach in the same context.”
Optimal Data-Driven Regression Discontinuity Plots (2015, methodology): “As mentioned above, Lee (2008) studied the incumbency advantage in U.S. House elections; the forcing variable is the margin of victory of the Democratic party in a given U.S. House election, the threshold is x̄ = 0, and the outcome variable is the Democratic vote share in the following U.S. House…”
Electoral rules and voter turnout (2011, neutral): “This strategy is deemed preferable to other non-experimental methods because (see Lee, 2008) if the units of the analysis (in our case the Italian municipalities) are unable to manipulate precisely the forcing variable (their size), the variation in treatment (changes in local electoral rules)…”
Credit Access and College Enrollment (2017, background): “Even if the expected PSU score depends on individual characteristics such as family backgroundor latent ability, eligibility for treatment in the small neighborhood around the cutoff will be as good as randomly assigned (Lee 2008).”
Robust Data-Driven Inference in the Regression-Discontinuity Design (2014, methodology): “For recent reviews on classical inference approaches in the RD design, including comprehensive lists of empirical examples, see Cook (2008), Imbens and Lemieux (2008), van der Klaauw (2008), Lee and Lemieux (2010), Dinardo and Lee (2011), and references therein.”
Government ideology and economic policy-making in the United States—a survey (2017, neutral): “…by employing Regression Discontinuity Designs (RDD), primarily exploiting close elections of governors and members of the US House and Senate (see Lee 2008; Lee and Lemieux 2010).10 An important question is whether employing RDD gives rise to different conclusions than suggested by the early…”
Evaluating China's poverty alleviation program: A regression discontinuity approach (2013, neutral): “selection variable (Lee, 2008).”
Do School Entry Laws Affect Educational Attainment and Labor Market Outcomes (2010, methodology): “Lee (2005), Lee and Card (2005) and Dinardo and Lee (2004) show that in the case where the variable on which the discontinuity occurs is not continuous the RDD can be estimated parametrically.”