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When Should You Adjust Standard Errors for Clustering?

The Quarterly journal of economics, 2023-02, Vol.138 (1), p.1-35

2023

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Difference-in-differences with variation in treatment timing

Journal of econometrics, 2021-12, Vol.225 (2), p.254-277

Goodman-Bacon, Andrew

2021

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Logs with Zeros? Some Problems and Solutions

The Quarterly journal of economics, 2024-05, Vol.139 (2), p.891-936

2024

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Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects

The American economic review, 2020-09, Vol.110 (9), p.2964-2996

2020

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Difference-in-Differences with multiple time periods

Journal of econometrics, 2021-12, Vol.225 (2), p.200-230

2021

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Entropy Balancing for Continuous Treatments

Journal of econometric methods, 2022-01, Vol.11 (1), p.71-89

Tübbicke, Stefan

2022

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Double/Debiased/Neyman Machine Learning of Treatment Effects

The American economic review, 2017-05, Vol.107 (5), p.261-265

2017

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Approximate residual balancing: debiased inference of average treatment effects in high dimensions

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2018-09, Vol.80 (4), p.597-623

2018

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MATCHING ON THE ESTIMATED PROPENSITY SCORE

Econometrica, 2016-03, Vol.84 (2), p.781-807

2016

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Doubly robust difference-in-differences estimators

Journal of econometrics, 2020-11, Vol.219 (1), p.101-122

2020

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Revisiting regression adjustment in experiments with heterogeneous treatment effects

Econometric reviews, 2021, Vol.40 (5), p.504-534

2021

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Quantile Regression with Clustered Data

Journal of econometric methods, 2016-01, Vol.5 (1), p.1-15

2016

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Applied Spatial Econometrics: Raising the Bar

Spatial economic analysis, 2010-03, Vol.5 (1), p.9-28

Elhorst, J. Paul

2010

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Semiparametric Difference-in-Differences Estimators

The Review of economic studies, 2005-01, Vol.72 (1), p.1-19

Abadie, Alberto

2005

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Twenty-First Century Curriculum Policy: Insights from Australia and Implications Globally

1st Edition 2020, 2021

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Exact p-Values for Network Interference

Journal of the American Statistical Association, 2018-01, Vol.113 (521), p.230-240

2018

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The Promise and Pitfalls of Differences-in-Differences: Reflections on 16 and Pregnant and Other Applications

Journal of business & economic statistics, 2020-07, Vol.38 (3), p.613-620

2020

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Fast Calibrated Additive Quantile Regression

Journal of the American Statistical Association, 2021-07, Vol.116 (535), p.1402-1412

2021

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ROBUST NONPARAMETRIC CONFIDENCE INTERVALS FOR REGRESSION-DISCONTINUITY DESIGNS

Econometrica, 2014-11, Vol.82 (6), p.2295-2326

2014

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WHO SHOULD BE TREATED? EMPIRICAL WELFARE MAXIMIZATION METHODS FOR TREATMENT CHOICE

Econometrica, 2018-03, Vol.86 (2), p.591-616

2018

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Fuzzy Differences-in-Differences

The Review of economic studies, 2018-04, Vol.85 (2 (303)), p.999-1028

2018

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Optimality of Matched-Pair Designs in Randomized Controlled Trials

The American economic review, 2022-12, Vol.112 (12), p.3911-3940

Bai, Yuehao

2022

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Dif-in-Dif Estimators of Multiplicative Treatment Effects

Journal of econometric methods, 2019-01, Vol.8 (1)

2019

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Robust Post-Matching Inference

Journal of the American Statistical Association, 2022-04, Vol.117 (538), p.983-995

2022

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Double/debiased machine learning for treatment and structural parameters

The econometrics journal, 2018-02, Vol.21 (1), p.C1-C68

2018

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When Should You Adjust Standard Errors for Clustering?

Difference-in-differences with variation in treatment timing

Logs with Zeros? Some Problems and Solutions

Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects

Difference-in-Differences with multiple time periods

Entropy Balancing for Continuous Treatments

Double/Debiased/Neyman Machine Learning of Treatment Effects

Approximate residual balancing: debiased inference of average treatment effects in high dimensions

MATCHING ON THE ESTIMATED PROPENSITY SCORE

Doubly robust difference-in-differences estimators

Revisiting regression adjustment in experiments with heterogeneous treatment effects

Quantile Regression with Clustered Data

Applied Spatial Econometrics: Raising the Bar

Semiparametric Difference-in-Differences Estimators

Twenty-First Century Curriculum Policy: Insights from Australia and Implications Globally

Exact p-Values for Network Interference

The Promise and Pitfalls of Differences-in-Differences: Reflections on 16 and Pregnant and Other Applications

Fast Calibrated Additive Quantile Regression

ROBUST NONPARAMETRIC CONFIDENCE INTERVALS FOR REGRESSION-DISCONTINUITY DESIGNS

WHO SHOULD BE TREATED? EMPIRICAL WELFARE MAXIMIZATION METHODS FOR TREATMENT CHOICE

Fuzzy Differences-in-Differences

Optimality of Matched-Pair Designs in Randomized Controlled Trials

Dif-in-Dif Estimators of Multiplicative Treatment Effects

Robust Post-Matching Inference

Double/debiased machine learning for treatment and structural parameters

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