Max Tabord-Meehan : Citation Profile

Are you Max Tabord-Meehan?

University of Chicago

4

H index

3

i10 index

92

Citations

RESEARCH PRODUCTION:

5

Articles

12

Papers

RESEARCH ACTIVITY:

   7 years (2017 - 2024). See details.
   Cites by year: 13
   Journals where Max Tabord-Meehan has often published
   Relations with other researchers
   Recent citing documents: 48.    Total self citations: 7 (7.07 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pta787
   Updated: 2024-12-03    RAS profile: 2024-08-09    
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Relations with other researchers

Works with:

Shaikh, Azeem (5)

Authors registered in RePEc who have co-authored more than one work in the last five years with Max Tabord-Meehan.

Is cited by:

Manski, Charles (7)

Shaikh, Azeem (5)

Sasaki, Yuya (4)

Lee, Sokbae (Simon) (3)

Graham, Bryan (3)

de Paula, Aureo (3)

Athey, Susan (2)

Phillips, Peter (2)

Canay, Ivan (2)

Rapallini, Chiara (2)

Rodrigue, Joel (1)

Cites to:

Shaikh, Azeem (29)

Imbens, Guido (16)

Canay, Ivan (14)

McKenzie, David (11)

Karlan, Dean (10)

Hirano, Keisuke (9)

Athey, Susan (8)

Tetenov, Aleksey (8)

Kremer, Michael (7)

Bruhn, Miriam (7)

Dupas, Pascaline (6)

Main data

Where Max Tabord-Meehan has published?

Working Papers Series with more than one paper published# docs
Papers / arXiv.org12

Recent works citing Max Tabord-Meehan (2024 and 2023)

YearTitle of citing document
2024Policy Targeting under Network Interference. (2019). Viviano, Davide. In: Papers. RePEc:arx:papers:1906.10258.

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2024Policy choice in experiments with unknown interference. (2020). Viviano, Davide. In: Papers. RePEc:arx:papers:2011.08174.

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2023Inference under Covariate-Adaptive Randomization with Imperfect Compliance. (2021). Bugni, Federico A ; Gao, Mengsi. In: Papers. RePEc:arx:papers:2102.03937.

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2024Dynamic covariate balancing: estimating treatment effects over time. (2021). Bradic, Jelena ; Viviano, Davide. In: Papers. RePEc:arx:papers:2103.01280.

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2024Empirical Welfare Maximization with Constraints. (2021). Sun, Liyang. In: Papers. RePEc:arx:papers:2103.15298.

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2024Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraint. (2021). Sakaguchi, Shosei. In: Papers. RePEc:arx:papers:2106.05031.

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2023Constrained Classification and Policy Learning. (2021). Tetenov, Aleksey ; Sakaguchi, Shosei ; Kitagawa, Toru. In: Papers. RePEc:arx:papers:2106.12886.

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2024Evidence Aggregation for Treatment Choice. (2021). Kitagawa, Toru ; Ishihara, Takuya. In: Papers. RePEc:arx:papers:2108.06473.

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2023Optimal Decision Rules Under Partial Identification. (2021). Yata, Kohei. In: Papers. RePEc:arx:papers:2111.04926.

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2023Regression Adjustments under Covariate-Adaptive Randomizations with Imperfect Compliance. (2022). Tang, Haihan ; Linton, Oliver B ; Jiang, Liang ; Zhang, Yichong. In: Papers. RePEc:arx:papers:2201.13004.

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2023Inference in Linear Dyadic Data Models with Network Spillovers. (2022). Canen, Nathan ; Sugiura, KO. In: Papers. RePEc:arx:papers:2203.03497.

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2023Policy Choice in Time Series by Empirical Welfare Maximization. (2022). Xu, Mengshan ; Wang, Weining ; Kitagawa, Toru. In: Papers. RePEc:arx:papers:2205.03970.

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2023Externally Valid Treatment Choice. (2022). Christensen, Timothy ; Adjaho, Christopher. In: Papers. RePEc:arx:papers:2205.05561.

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2024Treatment Choice with Nonlinear Regret. (2022). Qiu, Chen ; Lee, Sokbae ; Kitagawa, Toru. In: Papers. RePEc:arx:papers:2205.08586.

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2023Network Synthetic Interventions: A Framework for Panel Data with Network Interference. (2022). Yu, Christina Lee ; Shah, Devavrat ; Cen, Sarah ; Agarwal, Anish. In: Papers. RePEc:arx:papers:2210.11355.

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2023PAC-Bayesian Treatment Allocation Under Budget Constraints. (2022). Pellatt, Daniel F. In: Papers. RePEc:arx:papers:2212.09007.

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2024Inference for Two-stage Experiments under Covariate-Adaptive Randomization. (2023). Liu, Jizhou. In: Papers. RePEc:arx:papers:2301.09016.

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2023On Using The Two-Way Cluster-Robust Standard Errors. (2023). Sasaki, Yuya ; Chiang, Harold D. In: Papers. RePEc:arx:papers:2301.13775.

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2023Asymptotically Minimax Optimal Fixed-Budget Best Arm Identification for Expected Simple Regret Minimization. (2023). Kitagawa, Toru ; Ishihara, Takuya ; Imaizumi, Masaaki ; Kato, Masahiro. In: Papers. RePEc:arx:papers:2302.02988.

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2023Covariate Adjustment in Experiments with Matched Pairs. (2023). Shaikh, Azeem M ; Romano, Joseph P ; Jiang, Liang ; Bai, Yuehao ; Zhang, Yichong. In: Papers. RePEc:arx:papers:2302.04380.

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2024Adaptive Estimation of Intersection Bounds: a Classification Approach. (2023). Semenova, Vira. In: Papers. RePEc:arx:papers:2303.00982.

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2023Efficient Semiparametric Estimation of Average Treatment Effects Under Covariate Adaptive Randomization. (2023). Rafi, Ahnaf. In: Papers. RePEc:arx:papers:2305.08340.

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2023Robust inference for the treatment effect variance in experiments using machine learning. (2023). Sanchez-Becerra, Alejandro. In: Papers. RePEc:arx:papers:2306.03363.

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2023Double machine learning and design in batch adaptive experiments. (2023). Owen, Art B ; Li, Harrison H. In: Papers. RePEc:arx:papers:2309.15297.

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2023Treatment Choice, Mean Square Regret and Partial Identification. (2023). Lee, Sokbae (Simon) ; Qiu, Chen ; Kitagawa, Toru. In: Papers. RePEc:arx:papers:2310.06242.

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2024Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget. (2023). Kato, Masahiro. In: Papers. RePEc:arx:papers:2310.19788.

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2023Locally Asymptotically Minimax Statistical Treatment Rules Under Partial Identification. (2023). Kido, Daido. In: Papers. RePEc:arx:papers:2311.08958.

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2023Incorporating Preferences Into Treatment Assignment Problems. (2023). Kido, Daido. In: Papers. RePEc:arx:papers:2311.08963.

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2024Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices. (2024). Inokuchi, Ryo ; Komatsubara, Wataru ; Oga, Akihiro ; Kato, Masahiro. In: Papers. RePEc:arx:papers:2403.03589.

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2024Causal Interpretation of Estimands Defined by Exposure Mappings. (2024). Leung, Michael P. In: Papers. RePEc:arx:papers:2403.08183.

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2024Robust Inference in Locally Misspecified Bipartite Networks. (2024). Zhang, Yichong ; Candelaria, Luis E. In: Papers. RePEc:arx:papers:2403.13725.

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2024Regret Analysis in Threshold Policy Design. (2024). Crippa, Federico. In: Papers. RePEc:arx:papers:2404.11767.

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2023Who should get vaccinated? Individualized allocation of vaccines over SIR network. (2023). Wang, Guanyi ; Kitagawa, Toru. In: Journal of Econometrics. RePEc:eee:econom:v:232:y:2023:i:1:p:109-131.

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2023Probabilistic prediction for binary treatment choice: With focus on personalized medicine. (2023). Manski, Charles F. In: Journal of Econometrics. RePEc:eee:econom:v:234:y:2023:i:2:p:647-663.

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2023Debiased machine learning of set-identified linear models. (2023). Semenova, Vira. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:1725-1746.

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2023Inference under covariate-adaptive randomization with imperfect compliance. (2023). Gao, Mengsi ; Bugni, Federico A. In: Journal of Econometrics. RePEc:eee:econom:v:237:y:2023:i:1:s0304407623002130.

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2024Covariate adjustment in experiments with matched pairs. (2024). Romano, Joseph P ; Jiang, Liang ; Bai, Yuehao ; Zhang, Yichong ; Shaikh, Azeem M. In: Journal of Econometrics. RePEc:eee:econom:v:241:y:2024:i:1:s0304407624000861.

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2023Social networks and consumer behavior: Evidence from Yelp. (2023). Fe, Hao. In: Journal of Economic Behavior & Organization. RePEc:eee:jeborg:v:209:y:2023:i:c:p:1-14.

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2024Quantile treatment effects and bootstrap inference under covariate‐adaptive randomization. (2020). Zhang, Yichong ; Zheng, Xin. In: Quantitative Economics. RePEc:wly:quante:v:11:y:2020:i:3:p:957-982.

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Works by Max Tabord-Meehan:

YearTitleTypeCited
2020Model Selection for Treatment Choice: Penalized Welfare Maximization In: Papers.
[Full Text][Citation analysis]		paper40
2021Model Selection for Treatment Choice: Penalized Welfare Maximization.(2021) In: Econometrica.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 40		article
2022Stratification Trees for Adaptive Randomization in Randomized Controlled Trials In: Papers.
[Full Text][Citation analysis]		paper19
2023Stratification Trees for Adaptive Randomisation in Randomised Controlled Trials.(2023) In: The Review of Economic Studies.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 19		article
2023The Local Approach to Causal Inference under Network Interference In: Papers.
[Full Text][Citation analysis]		paper3
2024Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes In: Papers.
[Full Text][Citation analysis]		paper1
2023Inference for Matched Tuples and Fully Blocked Factorial Designs In: Papers.
[Full Text][Citation analysis]		paper3
2023Revisiting the Analysis of Matched-Pair and Stratified Experiments in the Presence of Attrition In: Papers.
[Full Text][Citation analysis]		paper0
2024Inference in Cluster Randomized Trials with Matched Pairs In: Papers.
[Full Text][Citation analysis]		paper0
2024Inference in Experiments with Matched Pairs and Imperfect Compliance In: Papers.
[Full Text][Citation analysis]		paper0
2024On the Efficiency of Finely Stratified Experiments In: Papers.
[Full Text][Citation analysis]		paper2
2024Exposure effects are not automatically useful for policymaking In: Papers.
[Full Text][Citation analysis]		paper0
2024A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances In: Papers.
[Full Text][Citation analysis]		paper2
2024Testing the Fairness-Accuracy Improvability of Algorithms In: Papers.
[Full Text][Citation analysis]		paper0
2024Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’ In: Biometrika.
[Full Text][Citation analysis]		article0
2019Inference With Dyadic Data: Asymptotic Behavior of the Dyadic-Robust t-Statistic In: Journal of Business & Economic Statistics.
[Full Text][Citation analysis]		article18
2017Evaluating the maximum MSE of mean estimators with missing data In: Stata Journal.
[Full Text][Citation analysis]		article4

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