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update literature from sphinx_panels to sphinx_design
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‎doc/conf.py

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'nbsphinx',
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'sphinx_gallery.load_style',
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'sphinx_copybutton',
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'sphinx_panels',
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'sphinx_design',
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'jupyter_sphinx',
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]

‎doc/literature/literature.rst

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@@ -16,144 +16,143 @@ Double machine learning literature
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**Double/debiased machine learning for treatment and structural parameters** |br|
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*The Econometrics Journal, 21(1), C1-C68, 2018* |br|
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1111/ectj.12097>`
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:opticon:`link` :link-badge:`https://doi.org/10.1111/ectj.12097,"URL",cls=badge-dark`
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:link-badge:`https://arxiv.org/abs/1608.00060,"arXiv",cls=badge-dark`
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:bdg-link-dark:`arXiv <https://arxiv.org/abs/1608.00060>`
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.. dropdown:: Software for double machine learning
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:class-title: sd-bg-primary sd-font-weight-bold
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- Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler |br|
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**DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python** |br|
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*Journal of Machine Learning Research, 23(53): 1-6, 2022* |br|
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:badge:`Python Package DoubleML,badge-info` |br|
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:opticon:`link` :link-badge:`https://www.jmlr.org/papers/v23/21-0862.html,"URL",cls=badge-dark`
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:opticon:`link` :link-badge:`https://arxiv.org/abs/2104.03220,"arXiv",cls=badge-dark`
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:opticon:`mark-github` :link-badge:`https://github.com/DoubleML/doubleml-for-py,"GitHub",cls=badge-dark`
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:link-badge:`https://pypi.org/project/DoubleML,"PyPI",cls=badge-dark`
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:link-badge:`https://anaconda.org/conda-forge/doubleml,"conda-forge",cls=badge-dark`
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:bdg-info:`Python Package DoubleML` |br|
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:octicon:`link` :bdg-link-dark:`URL <https://www.jmlr.org/papers/v23/21-0862.html>`
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:bdg-link-dark:`arXiv <https://arxiv.org/abs/2104.03220>`
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:bdg-link-dark:`PyPI <https://pypi.org/project/DoubleML>`
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:bdg-link-dark:`conda-forge <https://anaconda.org/conda-forge/doubleml>`
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:octicon:`mark-github` :bdg-link-dark:`GitHub <https://github.com/DoubleML/doubleml-for-py>`
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|hr|
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- Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler |br|
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**DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R** |br|
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*arXiv preprint arXiv:2103.09603 [stat.ML], 2021* |br|
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:badge:`R Package DoubleML,badge-info` |br|
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:opticon:`link` :link-badge:`https://arxiv.org/abs/2103.09603,"arXiv",cls=badge-dark`
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:opticon:`mark-github` :link-badge:`https://github.com/DoubleML/doubleml-for-r,"GitHub",cls=badge-dark`
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:link-badge:`https://cran.r-project.org/package=DoubleML,"CRAN",cls=badge-dark`
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:bdg-info:`R Package DoubleML` |br|
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:octicon:`link` :bdg-link-dark:`arXiv <https://arxiv.org/abs/2103.09603>`
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:bdg-link-dark:`CRAN <https://cran.r-project.org/package=DoubleML>`
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:octicon:`mark-github` :bdg-link-dark:`GitHub <https://github.com/DoubleML/doubleml-for-r>`
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|hr|
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- Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Paul Oka, Miruna Oprescu, Vasilis Syrgkanis |br|
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**EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation** |br|
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*2019* |br|
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:badge:`Python Package EconML,badge-info` |br|
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:opticon:`mark-github` :link-badge:`https://github.com/microsoft/EconML,"GitHub",cls=badge-dark`
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:bdg-info:`Python Package EconML` |br|
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:octicon:`mark-github` :bdg-link-dark:`GitHub <https://github.com/microsoft/EconML>`
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|hr|
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- Hugo Bodory, Martin Huber |br|
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**The causalweight package for causal inference in R** |br|
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*Working Papers SES 493, Faculty of Economics and Social Science, University of Fribourg, 2018* |br|
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:badge:`R Package causalweight,badge-info` |br|
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:opticon:`link` :link-badge:`https://folia.unifr.ch/global/documents/306524,"URL",cls=badge-dark`
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:link-badge:`https://cran.r-project.org/package=causalweight,"CRAN",cls=badge-dark`
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:bdg-info:`R Package causalweight` |br|
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:octicon:`link` :bdg-link-dark:`URL <https://folia.unifr.ch/global/documents/306524>`
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:bdg-link-dark:`CRAN <https://cran.r-project.org/package=causalweight>`
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|hr|
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- Michael C. Knaus |br|
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**Double Machine Learning based Program Evaluation under Unconfoundedness** |br|
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*arXiv preprint arXiv:2003.03191 [econ.EM], 2020* |br|
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:badge:`R Package causalDML,badge-info` |br|
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:opticon:`link` :link-badge:`https://arxiv.org/abs/2003.03191,"arXiv",cls=badge-dark`
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:opticon:`mark-github` :link-badge:`https://github.com/MCKnaus/causalDML,"GitHub",cls=badge-dark`
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:bdg-info:`R Package causalDML` |br|
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:octicon:`link` :bdg-link-dark:`arXiv <https://arxiv.org/abs/2003.03191>`
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:octicon:`mark-github` :bdg-link-dark:`GitHub <https://github.com/MCKnaus/causalDML>`
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|hr|
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- Michael C. Knaus |br|
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**A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student’s Skills** |br|
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*Journal of the Royal Statistical Society A, 184(1), 282-300, 2021* |br|
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:badge:`R Package dmlmt,badge-info` |br|
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:opticon:`link` :link-badge:`https://doi.org/10.1111/rssa.12623,"URL",cls=badge-dark`
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:link-badge:`https://arxiv.org/abs/1805.10300,"arXiv",cls=badge-dark`
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:opticon:`mark-github` :link-badge:`https://github.com/MCKnaus/dmlmt,"GitHub",cls=badge-dark`
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:bdg-info:`R Package dmlmt` |br|
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1111/rssa.12623>`
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:bdg-link-dark:`arXiv <https://arxiv.org/abs/1805.10300>`
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:octicon:`mark-github` :bdg-link-dark:`GitHub <https://github.com/MCKnaus/dmlmt>`
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|hr|
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- Malte S. Kurz |br|
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**Distributed Double Machine Learning with a Serverless Architecture** |br|
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*In Companion of the ACM/SPEC International Conference on Performance Engineering (ICPE ‘21). Association for
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Computing Machinery, New York, NY, USA, 27-33, 2021* |br|
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:badge:`Python Package DoubleML-Serverless,badge-info` |br|
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:opticon:`link` :link-badge:`https://dl.acm.org/doi/10.1145/3447545.3451181,"URL",cls=badge-dark`
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:link-badge:`https://arxiv.org/abs/2101.04025,"arXiv",cls=badge-dark`
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:opticon:`mark-github` :link-badge:`https://github.com/DoubleML/doubleml-serverless,"GitHub",cls=badge-dark`
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:bdg-info:`Python Package DoubleML-Serverless` |br|
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:octicon:`link` :bdg-link-dark:`URL <https://dl.acm.org/doi/10.1145/3447545.3451181>`
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:bdg-link-dark:`arXiv <https://arxiv.org/abs/2101.04025>`
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:octicon:`mark-github` :bdg-link-dark:`GitHub <https://github.com/DoubleML/doubleml-serverless>`
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- Juraj Szitas |br|
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**postDoubleR: Post Double Selection with Double Machine Learning** |br|
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*2019* |br|
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:badge:`R Package postDoubleR,badge-info` |br|
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:opticon:`mark-github` :link-badge:`https://github.com/JSzitas/postDoubleR,"GitHub",cls=badge-dark`
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:bdg-info:`R Package postDoubleR` |br|
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:octicon:`mark-github` :bdg-link-dark:`GitHub <https://github.com/JSzitas/postDoubleR>`
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.. dropdown:: Double machine learning models and methodological extensions
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:class-title: sd-bg-primary sd-font-weight-bold
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- Neng-Chieh Chang |br|
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**Double/debiased machine learning for difference-in-differences models** |br|
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*The Econometrics Journal, 23(2), Pages 177–191, 2020* |br|
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:opticon:`link` :link-badge:`https://doi.org/10.1093/ectj/utaa001,"URL",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1093/ectj/utaa001>`
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- Harold D. Chiang, Kengo Kato, Yukun Ma, Yuya Sasaki |br|
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**Multiway Cluster Robust Double/Debiased Machine Learning** |br|
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*Journal of Business & Economic Statistics, forthcoming, 2021* |br|
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:opticon:`link` :link-badge:`https://doi.org/10.1080/07350015.2021.1895815,"URL",cls=badge-dark`
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:link-badge:`https://arxiv.org/abs/1909.03489,"arXiv",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1080/07350015.2021.1895815>`
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:bdg-link-dark:`arXiv <https://arxiv.org/abs/1909.03489>`
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- Nathan Kallus, Xiaojie Mao, Masatoshi Uehara |br|
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**Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond** |br|
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*arXiv preprint arXiv:1912.12945 [stat.ML], 2019* |br|
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:opticon:`link` :link-badge:`https://doi.org/10.48550/arXiv.1912.12945,"arXiv",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`arXiv <https://doi.org/10.48550/arXiv.1912.12945>`
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- Nathan Kallus, Masatoshi Uehara |br|
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**Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes** |br|
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*Journal of Machine Learning Research 21, 1-63, 2020* |br|
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:opticon:`link` :link-badge:`https://jmlr.org/papers/volume21/19-827/19-827.pdf,"URL",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <https://jmlr.org/papers/volume21/19-827/19-827.pdf>`
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- Yusuke Narita, Shota Yasui, Kohei Yata |br|
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**Debiased Off-Policy Evaluation for Recommendation Systems** |br|
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*RecSys '21: Fifteenth ACM Conference on Recommender Systems, 372–379, 2021* |br|
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:opticon:`link` :link-badge:`https://doi.org/10.1145/3460231.3474231,"URL",cls=badge-dark`
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:link-badge:`https://arxiv.org/abs/2002.08536,"arXiv",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1145/3460231.3474231>`
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:bdg-link-dark:`arXiv <https://arxiv.org/abs/2002.08536>`
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- Lester Mackey, Vasilis Syrgkanis, Ilias Zadik |br|
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**Orthogonal Machine Learning: Power and Limitations** |br|
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*Proceedings of the 35th International Conference on Machine Learning, 2018* |br|
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:opticon:`link` :link-badge:`http://proceedings.mlr.press/v80/mackey18a/mackey18a.pdf,"URL",cls=badge-dark`
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:link-badge:`https://arxiv.org/abs/1711.00342,"arXiv",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <http://proceedings.mlr.press/v80/mackey18a>`
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:bdg-link-dark:`arXiv <https://arxiv.org/abs/1711.00342>`
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- Pedro HC Sant'Anna, Jun Zhao |br|
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**Doubly robust difference-in-differences estimators** |br|
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*Journal of Econometrics, 219(1), Pages 101-122, 2020* |br|
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:opticon:`link` :link-badge:`https://doi.org/10.1016/j.jeconom.2020.06.003,"URL",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1016/j.jeconom.2020.06.003>`
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- Vira Semenova, Victor Chernozhukov |br|
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**Debiased machine learning of conditional average treatment effects and other causal functions** |br|
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*The Econometrics Journal, 24(2), Pages 264-289, 2021* |br|
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:opticon:`link` :link-badge:`https://doi.org/10.1093/ectj/utaa027,"URL",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1093/ectj/utaa027>`
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- Vira Semenova, Matt Goldman, Victor Chernozhukov, Matt Taddy |br|
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**Estimation and Inference on Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels** |br|
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**Estimation and Inference on Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels under Weak Dependence** |br|
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*arXiv preprint arXiv:1712.09988 [stat.ML], 2017* |br|
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:opticon:`link` :link-badge:`https://arxiv.org/abs/1712.09988,"arXiv",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`arXiv <https://arxiv.org/abs/1712.09988>`
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- Michael Zimmert |br|
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**Efficient Difference-in-Differences Estimation with High-Dimensional Common Trend Confounding** |br|
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*arXiv preprint arXiv:1809.01643 [econ.EM], 2018* |br|
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:opticon:`link` :link-badge:`https://arxiv.org/abs/1809.01643,"arXiv",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`arXiv <https://arxiv.org/abs/1809.01643>`
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.. dropdown:: Debiased sparsity-based inference / theoretical foundations
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:class-title: sd-bg-primary sd-font-weight-bold
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**Inference for High-Dimensional Sparse Econometric Models** |br|
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*In D. Acemoglu, M. Arellano, & E. Dekel (Eds.), Advances in Economics and Econometrics: Tenth World Congress,
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:opticon:`link` :link-badge:`https://doi.org/10.1017/CBO9781139060035.008,"URL",cls=badge-dark`
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:link-badge:`https://arxiv.org/abs/1201.0220,"arXiv",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1017/CBO9781139060035.008>`
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:bdg-link-dark:`arXiv <https://arxiv.org/abs/1201.0220>`
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- Alexandre Belloni, Victor Chernozhukov, Lie Wang |br|
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**Pivotal estimation via square-root Lasso in nonparametric regression** |br|
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*The Annals of Statistics, 42(2), 757-788, 2014* |br|
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:opticon:`link` :link-badge:`https://doi.org/10.1214/14-AOS1204,"URL",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1214/14-AOS1204>`
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- Victor Chernozhukov, Christian Hansen, Martin Spindler |br|
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**Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach**
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*Annual Review of Economics 7(1), 649-688, 2015* |br|
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:opticon:`link` :link-badge:`https://doi.org/10.1146/annurev-economics-012315-015826,"URL",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1146/annurev-economics-012315-015826>`
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- Adel Javanmard, Andrea Montanari |br|
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**Hypothesis Testing in High-Dimensional Regression Under the Gaussian Random Design Model: Asymptotic Theory** |br|
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*IEEE Transactions on Information Theory, 60(10):6522–6554, 2014* |br|
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:opticon:`link` :link-badge:`https://doi.org/10.1109/TIT.2014.2343629,"URL",cls=badge-dark`
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:link-badge:`https://arxiv.org/abs/1301.4240,"arXiv",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1109/TIT.2014.2343629>`
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:bdg-link-dark:`arXiv <https://arxiv.org/abs/1301.4240>`
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- Jerzy Neyman |br|
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- Sara van de Geer, Peter Bühlmann, Ya’acov Ritov, Ruben Dezeure |br|
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**On asymptotically optimal confidence regions and tests for high-dimensional models** |br|
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*The Annals of Statistics, 42(3), 1166-1202, 2014* |br|
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:opticon:`link` :link-badge:`https://doi.org/10.1214/14-AOS1221,"URL",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1214/14-AOS1221>`
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- C.-H. Zhang, S.S. Zhang |br|
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**Confidence intervals for low dimensional parameters in high dimensional linear models** |br|
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*Journal of the Royal Statistical Society: Series B, 76, 217-242, 2014* |br|
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:opticon:`link` :link-badge:`https://doi.org/10.1111/rssb.12026,"URL",cls=badge-dark`
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:octicon:`link` :bdg-link-dark:`URL <https://doi.org/10.1111/rssb.12026>`
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.. grid:: 1
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.. grid-item-card:: Want to add or update a reference in the literature overview?
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:text-align: center
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.. link-button:: https://github.com/DoubleML/doubleml-docs/edit/main/doc/literature/literature.rst
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:text: Edit this file to propose a change or addition
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:classes: btn-block btn-dark btn-sm edit-button
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.. button-link:: https://github.com/DoubleML/doubleml-docs/edit/main/doc/literature/literature.rst
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:expand:
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.. link-button:: https://github.com/DoubleML/doubleml-docs/issues/new?assignees=FrederikBornemann&labels=literature&template=literature.yml&title=%5BADD%2FEDIT%5D+Reference+in+literature+overview
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:text: Discuss a change or addition via an issue
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:classes: btn-block btn-dark btn-sm issue-button
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Edit this file to propose a change or addition :octicon:`mark-github`
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.. button-link:: https://github.com/DoubleML/doubleml-docs/issues/new?assignees=FrederikBornemann&labels=literature&template=literature.yml&title=%5BADD%2FEDIT%5D+Reference+in+literature+overview
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:color: dark
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:expand:
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Discuss a change or addition via an issue :octicon:`mark-github`
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