Guido Imbens

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Economies et finances (31) Méthodes et statistiques (4)

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Textes imprimés (31)

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science économique (31) Economics (31) Econometrics (31) statistiques (28) Statistics (28) Statistics (28) Statistics (28) Treatment (24) méthodologie (21) Methodology (21) Methodology (21) Methods (18) Methods (18) Inference (15) spectacle (14) papier (14) Paper (14) Machine learning (13) Settings (13) Units of measurement (12) effet (11) Example (11) littérature (10) abords (agglomération) (10) Literature (10) Average (10) Models (10) temps (durée) (9) modèle (9) Time (9)

Documents écrit par Guido Imbens (31) | parle de Guido Imbens (0)

Admissibility of Completely Randomized Trials: A Large-Deviation Approach
Guido Imbens et al. (5 juin 2025)
Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation
Stefano DellaVigna et al. (17 avr. 2025)
Identification of Average Treatment Effects in Nonparametric Panel Models
Susan Athey et al. (25 mars 2025)
PLRD: Partially Linear Regression Discontinuity Inference
Aditya Ghosh et al. (12 mars 2025)
Computationally Efficient Estimation of Large Probit Models
Patrick Ding et al. (12 juil. 2024)
Comparing Experimental and Nonexperimental Methods: What Lessons Have We Learned Four Decades After LaLonde (1986)?
Guido Imbens et al. (2 juin 2024)
Causal Models for Longitudinal and Panel Data: A Survey
Dmitry Arkhangelsky et al. (26 nov. 2023)
Causal clustering: design of cluster experiments under network interference
Davide Viviano et al. (23 oct. 2023)
Estimating the Value of Evidence-Based Decision Making
Alberto Abadie et al. (21 juin 2023)
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control
Jann Spiess et al. (1 mai 2023)
Synthetic Difference In Differences Estimation
Damian Clarke et al. (27 janv. 2023)
Long-term Causal Inference Under Persistent Confounding via Data Combination
Guido Imbens et al. (15 févr. 2022)
Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations
Xinkun Nie et al. (9 déc. 2021)
Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models
Guido Imbens et al. (9 août 2021)
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
Zhaonan Qu et al. (26 juil. 2021)
A Design-Based Perspective on Synthetic Control Methods
Lea Bottmer et al. (22 janv. 2021)
Using Experiments to Correct for Selection in Observational Studies
Susan Athey et al. (17 juin 2020)
Optimal Experimental Design for Staggered Rollouts
Ruoxuan Xiong et al. (9 nov. 2019)
Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations
Susan Athey et al. (5 sept. 2019)
Ensemble Methods for Causal Effects in Panel Data Settings
Susan Athey et al. (24 mars 2019)
Machine Learning Methods Economists Should Know About
Susan Athey et al. (24 mars 2019)
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption
Susan Athey et al. (15 août 2018)
Fixed Effects and the Generalized Mundlak Estimator
Dmitry Arkhangelsky et al. (5 juil. 2018)
Estimation Considerations in Contextual Bandits
Maria Dimakopoulou et al. (19 nov. 2017)
Matrix Completion Methods for Causal Panel Data Models
Susan Athey et al. (27 oct. 2017)

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