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Locally Asymptotically Minimax Statistical Treatment Rules Under Partial Identification

Daido Kido

arXiv 15 Nov 2023 · Econometrics

arXiv:2311.08958 · PDF · DOI · OpenAlex · Extracted main text

Abstract

Policymakers often desire a statistical treatment rule (STR) that determines a treatment assignment rule deployed in a future population from available data. With the true knowledge of the data generating process, the average treatment effect (ATE) is the key quantity characterizing the optimal treatment rule. Unfortunately, the ATE is often not point identified but partially identified. Presuming the partial identification of the ATE, this study conducts a local asymptotic analysis and develops the locally asymptotically minimax (LAM) STR. The analysis does not assume the full differentiability but the directional differentiability of the boundary functions of the identification region of the ATE. Accordingly, the study shows that the LAM STR differs from the plug-in STR. A simulation study also demonstrates that the LAM STR outperforms the plug-in STR.

Citation extraction

46
references
120
in-text mentions
46
distinct cited
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appendix boundary found by appendix_command · 48% of the source is main text. Read the extracted text to check this.

Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Fang, Zheng (2016) Optimal Plug-in Estimators of Directionally Differentiable Functionals1.00054100%
2Fang, Zheng, Santos, Andres (2019) Inference on Directionally Differentiable Functions0.8746567%
3Hirano, Keisuke, Porter, Jack R (2009) Asymptotics for Statistical Treatment Rules0.87462100%
4Ponomarev, Kirill (2022) Efficient Estimation of Directionally Differentiable Functionals0.85113662%
5Song, Kyungchul (2014) Local Asymptotic Minimax Estimation of Nonregular Parameters with Translation-Scale Equivariant Maps0.84333100%
6Manski, Charles F (2004) Statistical Treatment Rules for Heterogeneous Populations0.81142100%
7Manski, Charles F (2007) Minimax-Regret Treatment Choice with Missing Outcome Data0.81142100%
8Bogachev, Vladimir I (2007) Measure Theory0.7374275%
9Manski, Charles F (1990) Nonparametric Bounds on Treatment Effects0.73732100%
10Manski, Charles F (2009) Diversified Treatment under Ambiguity0.73732100%

Showing the top 10 of 46 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Optimal treatment assignment rules under capacity constraints0.64422
2Robust Bayes Treatment Choice with Partial Identification0.51121
3Statistical Decisions and Partial Identification: With Application to Boundary Discontinuity Design0.51121
4Optimal Decision Rules Under Partial Identification0.40511
5Decision Theory for Treatment Choice Problems with Partial Identification0.40511
6Policy Learning with Confidence$^$0.40511