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Estimation of Heterogeneous Treatment Effects from Randomized Experiments, with Application to the Optimal Planning of the Get-Out-the-Vote Campaign
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Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 22 checked references that resolve
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Don't Forget to Vote: Text Message Reminders as a Mobilization Tool
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The 23 references without a DOI — listed, not checked
no DOI — not checkedBeyond toplines: Heterogeneous treatment effects in randomized experiments. Technical report
no DOI — not checkedIt is also possible to use a Bayesian version of regression tree models (Chipman, George, and McCulloch, 2010; Green and Kern, 2010b; Hill forthcoming) and of course many other data mining methods.
no DOI — not checkedMathematical applications in political science
no DOI — not checkedHartman Erin , Grieve Richard , and Sekhon Jasjeet S. 2010. From SATE to PATT: The essential role of placebo test combining experimental and observational studies. The Annual Meeting of the American Political Science Association, Washington, DC.
no DOI — not checkedStatistical decision functions
no DOI — not checkedThis tree-based classification method is one of many nonparametric models one can use. One disadvantage of this approach is that gradual changes in treatment effects across covariate groups are modeled as sharp discontinuities rather than smooth functionals.
no DOI — not checkedTargeting political advertising on television. Technical report
no DOI — not checkedAlternatively, the planner may formalize a prior belief in terms of treatment effects. If a normal prior distribution is used, then the posterior of τ(t,x) can also be approximated by a normal distribution.
no DOI — not checkedPlanning of experiments
no DOI — not checkedIn what follows, we describe our methodology as if a campaign planner both analyzes the data and makes the decision. Clearly, this does not have to be the case since our methods apply directly to situations where a planner makes the decision based on the recommendations given by a data analyst.
no DOI — not checkedA linear programming problem is called a mixed integer programming problem if some unknown parameters are required to be integers.
no DOI — not checkedPoliticking online: The transformation of election campaign communications
no DOI — not checkedRecall that the complete data set is divided into treatment groups, and each of those groups has k training sets for the k -fold cross validation.
no DOI — not checkedSpecifically, the optimization problem is given by
no DOI — not checkedVariable selection for optimal decision making
no DOI — not checkedSocial choice with partial knowledge of treatment response
no DOI — not checkedGet out the vote: How to increase voter turnout
no DOI — not checkedGreen Donald P. , and Kern Holder L. 2010b. Detecting heterogenous treatment effects in large-scale experiments using Bayesian additive regression trees. The Annual Summer Meeting of the Society of Political Methodology, University of Iowa.
no DOI — not checkedA GOTV campaign that disproportionately drives out one candidate's vote affects the outcome of the election, hence we reference GOTV campaigns in this section as well.
no DOI — not checkedGetting-out-the-vote: An experiment in the stimulation of voting
no DOI — not checkedClassification and regression trees
no DOI — not checkedGreen Donald P. , and Kern Holder L. 2010a. Generalizing experimental results. The Annual Meeting of the American Political Science Association, Washington, DC.
no DOI — not checkedThe covariates in the final trees are vote history in the 2002 primary election, 2002 general election, and 2004 primary election.
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