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INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs

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Isotonic regression discontinuity designs
—Andrii Babii, Rohit Kumar []

Estimation and inference for policy relevant treatment effects
—Yuya Sasaki, Takuya Ura []

Estimation of treatment effects under endogenous heteroskedasticity
—Jason Abrevaya, Haiqing Xu []

Identifying treatment effects in the presence of confounded types
—Désiré Kédagni []

Forward-selected panel data approach for program evaluation
—Zhentao Shi, Jingyi Huang []

Partially identifying competing risks models: An application to the war on cancer
—Dongwoo Kim []

Identifying marginal treatment effects in the presence of sample selection
—Otávio Bartalotti, Désiré Kédagni, Vitor Possebom []

Identification and estimation of triangular models with a binary treatment
—Santiago Pereda-Fernández []

Treatment recommendation with distributional targets
—Anders Bredahl Kock, David Preinerstorfer, Bezirgen Veliyev []

Probabilistic prediction for binary treatment choice: With focus on personalized medicine
—Charles F. Manski []

Nonparametric difference-in-differences in repeated cross-sections with continuous treatments
—Xavier D’HaultfÅ“uille, Stefan Hoderlein, Yuya Sasaki []

Synthetic Learner: Model-free inference on treatments over time
—Davide Viviano, Jelena Bradic []

Estimation and inference of treatment effects with L2-boosting in high-dimensional settings
—Jannis Kueck, Ye Luo, Martin Spindler, Zigan Wang []

Multiple treatments with strategic substitutes
—Jorge F. Balat, Sukjin Han []

Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations
—Liang Jiang, Peter C.B. Phillips, Yubo Tao, Yichong Zhang []