2SLS with Multiple Treatments
Fuente:
arXiv
Saved in:
| Main Authors: | Bhuller, Manudeep, Sigstad, Henrik |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Marginal Treatment Effects and Monotonicity
by: Sigstad, Henrik
Published: (2024)
by: Sigstad, Henrik
Published: (2024)
A Consistent Variance Estimator for 2SLS When Instruments Identify Different LATEs
by: Lee, Seojeong
Published: (2018)
by: Lee, Seojeong
Published: (2018)
The Cascade Identity: 2SLS as a Policy Parameter in Capacity-Constrained Settings
by: Bengtsson, Niklas, et al.
Published: (2026)
by: Bengtsson, Niklas, et al.
Published: (2026)
Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation
by: Lennon, Connor, et al.
Published: (2025)
by: Lennon, Connor, et al.
Published: (2025)
Identification in Multiple Treatment Models under Discrete Variation
by: Kamat, Vishal, et al.
Published: (2023)
by: Kamat, Vishal, et al.
Published: (2023)
On Extrapolation of Treatment Effects in Multiple-Cutoff Regression Discontinuity Designs
by: Okamoto, Yuta, et al.
Published: (2024)
by: Okamoto, Yuta, et al.
Published: (2024)
Identifying Causal Effects of Discrete, Ordered and ContinuousTreatments using Multiple Instrumental Variables
by: Hoff, Nadja van 't
Published: (2023)
by: Hoff, Nadja van 't
Published: (2023)
Treatment Effects of Multi-Valued Treatments in Hyper-Rectangle Model
by: Tian, Xunkang
Published: (2025)
by: Tian, Xunkang
Published: (2025)
Local Average and Marginal Treatment Effects with a Misclassified Treatment
by: Acerenza, Santiago, et al.
Published: (2021)
by: Acerenza, Santiago, et al.
Published: (2021)
Treatment Effects with Multidimensional Unobserved Heterogeneity: Identification of the Marginal Treatment Effect
by: Tsuda, Toshiki
Published: (2022)
by: Tsuda, Toshiki
Published: (2022)
Stratifying on Treatment Status
by: Hahn, Jinyong, et al.
Published: (2024)
by: Hahn, Jinyong, et al.
Published: (2024)
Forecasted Treatment Effects
by: Botosaru, Irene, et al.
Published: (2023)
by: Botosaru, Irene, et al.
Published: (2023)
Difference-in-Differences with Multiple Events
by: Tsai, Lin-Tung
Published: (2024)
by: Tsai, Lin-Tung
Published: (2024)
Policy Learning with New Treatments
by: Higbee, Samuel
Published: (2022)
by: Higbee, Samuel
Published: (2022)
Distributionally Robust Treatment Effect
by: Xu, Ruonan, et al.
Published: (2025)
by: Xu, Ruonan, et al.
Published: (2025)
Changes-In-Changes For Discrete Treatment
by: Boussim, Onil
Published: (2024)
by: Boussim, Onil
Published: (2024)
Sequential Validation of Treatment Heterogeneity
by: Wager, Stefan
Published: (2024)
by: Wager, Stefan
Published: (2024)
Causal Inference for Aggregated Treatment
by: Caetano, Carolina, et al.
Published: (2025)
by: Caetano, Carolina, et al.
Published: (2025)
Interacting Treatments with Endogenous Takeup
by: Kormos, Mate, et al.
Published: (2023)
by: Kormos, Mate, et al.
Published: (2023)
Heterogeneity Analysis with Heterogeneous Treatments
by: Heiler, Phillip, et al.
Published: (2025)
by: Heiler, Phillip, et al.
Published: (2025)
Treatment Effect Estimators as Weighted Outcomes
by: Knaus, Michael C.
Published: (2024)
by: Knaus, Michael C.
Published: (2024)
Inequality Sensitive Optimal Treatment Assignment
by: Zambrano, Eduardo
Published: (2024)
by: Zambrano, Eduardo
Published: (2024)
Treatment Evaluation at the Intensive and Extensive Margins
by: Heiler, Phillip, et al.
Published: (2024)
by: Heiler, Phillip, et al.
Published: (2024)
Difference-in-Differences with a Continuous Treatment
by: Callaway, Brantly, et al.
Published: (2021)
by: Callaway, Brantly, et al.
Published: (2021)
Optimal Treatment Allocation under Constraints
by: Johansen, Torben S. D.
Published: (2024)
by: Johansen, Torben S. D.
Published: (2024)
Robust Network Targeting with Multiple Nash Equilibria
by: Wang, Guanyi
Published: (2024)
by: Wang, Guanyi
Published: (2024)
A Vector Monotonicity Assumption for Multiple Instruments
by: Goff, Leonard
Published: (2020)
by: Goff, Leonard
Published: (2020)
Finitely Heterogeneous Treatment Effect in Event-study
by: Shin, Myungkou
Published: (2022)
by: Shin, Myungkou
Published: (2022)
Triple Difference Designs with Heterogeneous Treatment Effects
by: Caron, Laura
Published: (2025)
by: Caron, Laura
Published: (2025)
Difference-in-Differences Estimators of Intertemporal Treatment Effects
by: de Chaisemartin, Clément, et al.
Published: (2020)
by: de Chaisemartin, Clément, et al.
Published: (2020)
Individualized Treatment Allocation in Sequential Network Games
by: Kitagawa, Toru, et al.
Published: (2023)
by: Kitagawa, Toru, et al.
Published: (2023)
Distributional Treatment Effect with Latent Rank Invariance
by: Shin, Myungkou
Published: (2024)
by: Shin, Myungkou
Published: (2024)
Data-Driven Policy Learning for Continuous Treatments
by: Ai, Chunrong, et al.
Published: (2024)
by: Ai, Chunrong, et al.
Published: (2024)
Semiparametric Efficiency in Policy Learning with General Treatments
by: Fang, Yue, et al.
Published: (2025)
by: Fang, Yue, et al.
Published: (2025)
Instrumented Difference-in-Differences with Heterogeneous Treatment Effects
by: Miyaji, Sho
Published: (2024)
by: Miyaji, Sho
Published: (2024)
Difference-in-Differences Estimators with Continuous Treatments and no Stayers
by: de Chaisemartin, Clément, et al.
Published: (2024)
by: de Chaisemartin, Clément, et al.
Published: (2024)
Robust Bayes Treatment Choice with Partial Identification
by: Fernández, Andrés Aradillas, et al.
Published: (2024)
by: Fernández, Andrés Aradillas, et al.
Published: (2024)
Extended MinP Tests for Global and Multiple testing
by: Lu, Zeng-Hua
Published: (2019)
by: Lu, Zeng-Hua
Published: (2019)
Large Structural VARs with Multiple Sign and Ranking Restrictions
by: Chan, Joshua, et al.
Published: (2025)
by: Chan, Joshua, et al.
Published: (2025)
Beyond Bonferroni: Hierarchical Multiple Testing in Empirical Research
by: Calonico, Sebastian, et al.
Published: (2025)
by: Calonico, Sebastian, et al.
Published: (2025)
Similar Items
-
Marginal Treatment Effects and Monotonicity
by: Sigstad, Henrik
Published: (2024) -
A Consistent Variance Estimator for 2SLS When Instruments Identify Different LATEs
by: Lee, Seojeong
Published: (2018) -
The Cascade Identity: 2SLS as a Policy Parameter in Capacity-Constrained Settings
by: Bengtsson, Niklas, et al.
Published: (2026) -
Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation
by: Lennon, Connor, et al.
Published: (2025) -
Identification in Multiple Treatment Models under Discrete Variation
by: Kamat, Vishal, et al.
Published: (2023)