Fetching the paper…
Reading the bibliography…
We propose strategies to estimate and make inference on key features of heterogeneous effects in randomized experiments.
Sur les applications de la theorie des probabilites aux experiences agricoles: essai des principes (masters thesis); justification of applications of the calculus of probabilities to the solutions of certain questions in agricultural experimentation. excerpts english translation (reprinted)
J Neyman · 1923
Earlier work this paper cites.
The large-sample power of tests based on permutations of observations
Wassily Hoeffding · 1952
Earlier work this paper cites.
Using subsample values as typical values
John A Hartigan · 1969
Earlier work this paper cites.
Discussion of “Cross-validatory choice and assessment of statistical predictions” by Stone
G. Barnard · 1974
Earlier work this paper cites.
Inference from complex samples
Leslie Kish and Martin Richard Frankel · 1974
Earlier work this paper cites.
Estimating causal effects of treatments in randomized and nonrandomized studies
Donald B Rubin · 1974
Earlier work this paper cites.
A note on data-splitting for the evaluation of significance levels
DR Cox · 1975
Earlier work this paper cites.
Data analysis and regression: a second course in statistics
Frederick Mosteller and John Wilder Tukey · 1977
Earlier work this paper cites.
Optimal global rates of convergence for nonparametric regression
Charles J. Stone · 1982
Earlier work this paper cites.
The central role of the propensity score in observational studies for causal effects
Paul R. Rosenbaum and Donald B. Rubin · 1983
Earlier work this paper cites.
A unified theory of estimation and inference for nonlinear dynamic models
A Ronald Gallant and Halbert White · 1988
Earlier work this paper cites.
Root- N N -consistent semiparametric regression
P. M. Robinson · 1988
Earlier work this paper cites.
Volume ratios and a reverse isoperimetric inequality
Keith Ball · 1991
Earlier work this paper cites.
On nonparametric confidence intervals
Mark G Low et al · 1997
Earlier work this paper cites.
Uniform Cental Limit Theorems
R. Dudley · 2000
Earlier work this paper cites.
A fine is a price
Uri Gneezy and Aldo Rustichini · 2000
Earlier work this paper cites.
The elements of statistical learning , volume 1
Jerome Friedman, Trevor Hastie, and Robert Tibshirani · 2001
Earlier work this paper cites.
On the dependence of the berry–esseen bound on dimension
Vidmantas Bentkus · 2003
Earlier work this paper cites.
Efficient estimation of average treatment effects using the estimated propensity score
Keisuke Hirano, Guido W. Imbens, and Geert Ridder · 2003
Earlier work this paper cites.
Model selection in nonparametric regression
Marten Wegkamp et al · 2003
Earlier work this paper cites.
Semiparametric difference-in-differences estimators
Alberto Abadie · 2005
Earlier work this paper cites.
Algorithmic learning in a random world
Vladimir Vovk, Alexander Gammerman, and Glenn Shafer · 2005
Earlier work this paper cites.
Pattern recognition and machine learning , volume 4
Christopher M Bishop and Nasser M Nasrabadi · 2006
Earlier work this paper cites.
Progressive mixture rules are deviation suboptimal
Jean-Yves Audibert · 2007
Earlier work this paper cites.
Using randomization in development economics research: A toolkit
Esther Duflo, Rachel Glennerster, and Michael Kremer · 2007
Earlier work this paper cites.
Mostly Harmless Econometrics: An Empiricist’s Companion
Joshua D. Angrist and Jorn-Steffan Pischke · 2008
Earlier work this paper cites.
Nonparametric tests for treatment effect heterogeneity
Richard K Crump, V Joseph Hotz, Guido W Imbens, and Oscar A Mitnik · 2008
Earlier work this paper cites.
On regression adjustments to experimental data
David A. Freedman · 2008
Earlier work this paper cites.
Adaptive confidence bands
Christopher Genovese and Larry Wasserman · 2008
Earlier work this paper cites.
Caret package
Max Kuhn · 2008
Earlier work this paper cites.
Simultaneous analysis of Lasso and Dantzig selector
P. J. Bickel, Y. Ritov, and A. B. Tsybakov · 2009
Earlier work this paper cites.
P-values for high-dimensional regression
Nicolai Meinshausen, Lukas Meier, and Peter Bühlmann · 2009
Earlier work this paper cites.
High dimensional variable selection
Larry Wasserman and Kathryn Roeder · 2009
Earlier work this paper cites.
Improving immunisation coverage in rural india: clustered randomised controlled evaluation of immunisation campaigns with and without incentives
Abhijit Vinayak Banerjee, Esther Duflo, Rachel Glennerster, and Dhruva Kothari · 2010
Cited alongside, same era.
Confidence bands in density estimation
Evarist Giné and Richard Nickl · 2010
Cited alongside, same era.
Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion
Vladimir Koltchinskii, Karim Lounici, and Alexandre B Tsybakov · 2011
Cited alongside, same era.
Machine learning: a probabilistic perspective
Kevin P Murphy · 2012
Cited alongside, same era.
Financial incentives and coverage of child health interventions: a systematic review and meta-analysis
Diego G Bassani, Paul Arora, Kerri Wazny, Michelle F Gaffey, Lindsey Lenters, and Zulfiqar A Bhutta · 2013
Cited alongside, same era.
Estimation and inference on heterogeneous treatment effects in high-dimensional dynamic panels
Vira Semenova, Matt Goldman, Victor Chernozhukov, and Matt Taddy · 2017
Closest in time.
Estimation and inference of heterogeneous treatment effects using random forests
Stefan Wager and Susan Athey · 2017
Closest in time.
ranger: A fast implementation of random forests for high dimensional data in C++ and R
Marvin N. Wright and Andreas Ziegler · 2017
Closest in time.
Selective inference for effect modification via the lasso
Qingyuan Zhao, Dylan S Small, and Ashkan Ertefaie · 2017
Closest in time.
Debiased machine learning of global and local parameters using regularized riesz representers
Victor Chernozhukov, Whitney Newey, and Rahul Singh · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Alexandre Belloni, Victor Chernozhukov, and Kengo Kato · 2013
Cited alongside, same era.
Estimating treatment effect heterogeneity in randomized program evaluation
Kosuke Imai and Marc Ratkovic · 2013
Cited alongside, same era.
The feasibility of using mobile-phone based sms reminders and conditional cash transfers to improve timely immunization in rural kenya
Hotenzia Wakadha, Subhash Chandir, Elijah Victor Were, Alan Rubin, David Obor, Orin S Levine, Dustin G Gibson, Frank Odhiambo, Kayla F Laserson, and Daniel R Feikin · 2013
Cited alongside, same era.
Inference on treatment effects after selection amongst high-dimensional controls
A. Belloni, V. Chernozhukov, and C. Hansen · 2014
Cited alongside, same era.
Optimal inference after model selection
William Fithian, Dennis Sun, and Jonathan Taylor · 2014
Cited alongside, same era.
The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages
V. Chernozhukov, I. Fernandez-Val, and Y. Luo · 2015
Cited alongside, same era.
Post-selection and post-regularization inference in linear models with very many controls and instruments
Victor Chernozhukov, Christian Hansen, and Martin Spindler · 2015
Cited alongside, same era.
Closest in time.
Social signaling and childhood immunization: A field experiment in sierra leone
Anne Karing · 2018
Closest in time.
Who should be treated? empirical welfare maximization methods for treatment choice
Toru Kitagawa and Aleksey Tetenov · 2018
Closest in time.
When celebrities speak: A nationwide twitter experiment promoting vaccination in indonesia
Vivi Alatas, Arun G Chandrasekhar, Markus Mobius, Benjamin A Olken, and Cindy Paladines · 2019
Closest in time.
Leveraging the social network amplifies the effectiveness of interventions to stimulate take up of immunization
Abhijit Banerjee, Arun Chandrasekhar, Esther Duflo, Suresh Dalpath, John Floretta, Matthew Jackson, Harini Kannan, Anna Schrimpf, and Mahesh Shrestha · 2019
Closest in time.
The mortality and medical costs of air pollution: Evidence from changes in wind direction
Tatyana Deryugina, Garth Heutel, Nolan H Miller, David Molitor, and Julian Reif · 2019
Closest in time.
Orthogonal statistical learning
Dylan J Foster and Vasilis Syrgkanis · 2019
Closest in time.
A multivariate berry–esseen theorem with explicit constants
Martin Raič · 2019
Closest in time.
20 million children miss out on lifesaving measles, diphtheria and tetanus vaccines in 2018
Unicef · 2019
Closest in time.
High-dimensional statistics: A non-asymptotic viewpoint , volume 48
Martin J Wainwright · 2019
Closest in time.
Nonparametric estimation of causal heterogeneity under high-dimensional confounding
Michael Zimmert and Michael Lechner · 2019
Closest in time.
Synthetic interventions, 2020
Anish Agarwal, Abdullah Alomar, Romain Cosson, Devavrat Shah, and Dennis Shen · 2020
Closest in time.
Rethinking the benefits of youth employment programs: The heterogeneous effects of summer jobs
Jonathan MV Davis and Sara B Heller · 2020
Closest in time.
Exact tests via multiple data splitting
Cyrus J DiCiccio, Thomas J DiCiccio, and Joseph P Romano · 2020
Closest in time.
Optimal doubly robust estimation of heterogeneous causal effects
Edward H Kennedy · 2020
Closest in time.
Quasi-oracle estimation of heterogeneous treatment effects
X Nie and S Wager · 2020
Closest in time.
Policy learning with observational data
Susan Athey and Stefan Wager · 2021
Closest in time.
Inference on winners
Abhijit Banerjee, Arun Chandrasekhar, Esther Duflo, Suresh Dalpath, John Floretta, Matthew Jackson, Loza Francine, Harini Kannan, and Anna Schrimpf · 2021
Closest in time.
Cream skimming and the comparison between social interventions evidence from entrepreneurship programs for at-risk youth in france
Bruno Crepon, Esther Duflo, Huillery Elisa, William Pariente, Juliette Seban, and Paul-Armand Veillon · 2021
Closest in time.
An introduction to statistical learning—with applications in R
Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani · 2021
Closest in time.
Debiased machine learning of conditional average treatment effects and other causal functions
Vira Semenova and Victor Chernozhukov · 2021
Closest in time.
Localization, convexity, and star aggregation
Suhas Vijaykumar · 2021
Closest in time.
Conformal prediction beyond exchangeability, 2022
Rina Foygel Barber, Emmanuel J. Candes, Aaditya Ramdas, and Ryan J. Tibshirani · 2022
Closest in time.
Debiased machine learning without sample-splitting for stable estimators
Qizhao Chen, Vasilis Syrgkanis, and Morgane Austern · 2022
Closest in time.
Estimation of conditional average treatment effects with high-dimensional data
Qingliang Fan, Yu-Chin Hsu, Robert P Lieli, and Yichong Zhang · 2022
Closest in time.
Targeting high ability entrepreneurs using community information: Mechanism design in the field
Reshmaan Hussam, Natalia Rigol, and Benjamin N Roth · 2022
Closest in time.
Regularised orthogonal machine learning for nonlinear semiparametric models
Denis Nekipelov, Vira Semenova, and Vasilis Syrgkanis · 2022
Closest in time.
R: A Language and Environment for Statistical Computing
R Core Team · 2022
Closest in time.