Christian Hansen
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Christian |
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Hansen |
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Affiliations
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University of Chicago
/ Booth School of Business
Research profile
author of:
- Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments (RePEc:aea:aecrev:v:105:y:2015:i:5:p:486-90)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Double/Debiased/Neyman Machine Learning of Treatment Effects (RePEc:aea:aecrev:v:107:y:2017:i:5:p:261-65)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey - Pre-event Trends in the Panel Event-Study Design (RePEc:aea:aecrev:v:109:y:2019:i:9:p:3307-38)
by Simon Freyaldenhoven & Christian Hansen & Jesse M. Shapiro - High-Dimensional Methods and Inference on Structural and Treatment Effects (RePEc:aea:jecper:v:28:y:2014:i:2:p:29-50)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Quantile Models with Endogeneity (RePEc:anr:reveco:v:5:y:2013:p:57-81)
by V. Chernozhukov & C. Hansen - Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach (RePEc:anr:reveco:v:7:y:2015:p:649-688)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain (RePEc:arx:papers:1010.4345)
by Alexandre Belloni & Daniel Chen & Victor Chernozhukov & Christian Hansen - LASSO Methods for Gaussian Instrumental Variables Models (RePEc:arx:papers:1012.1297)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Inference for High-Dimensional Sparse Econometric Models (RePEc:arx:papers:1201.0220)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Inference on Treatment Effects After Selection Amongst High-Dimensional Controls (RePEc:arx:papers:1201.0224)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Quantile Models with Endogeneity (RePEc:arx:papers:1303.7050)
by Victor Chernozhukov & Christian Hansen - Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" (RePEc:arx:papers:1305.6099)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Program Evaluation and Causal Inference with High-Dimensional Data (RePEc:arx:papers:1311.2645)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fern'andez-Val & Christian Hansen - Inference in High Dimensional Panel Models with an Application to Gun Control (RePEc:arx:papers:1411.6507)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Damian Kozbur - Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments (RePEc:arx:papers:1501.03185)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach (RePEc:arx:papers:1501.03430)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - A lava attack on the recovery of sums of dense and sparse signals (RePEc:arx:papers:1502.03155)
by Victor Chernozhukov & Christian Hansen & Yuan Liao - Double/Debiased Machine Learning for Treatment and Causal Parameters (RePEc:arx:papers:1608.00060)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins - The Factor-Lasso and K-Step Bootstrap Approach for Inference in High-Dimensional Economic Applications (RePEc:arx:papers:1611.09420)
by Christian Hansen & Yuan Liao - Simultaneous Confidence Intervals for High-dimensional Linear Models with Many Endogenous Variables (RePEc:arx:papers:1712.08102)
by Alexandre Belloni & Christian Hansen & Whitney Newey - High-Dimensional Econometrics and Regularized GMM (RePEc:arx:papers:1806.01888)
by Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato - lassopack: Model selection and prediction with regularized regression in Stata (RePEc:arx:papers:1901.05397)
by Achim Ahrens & Christian B. Hansen & Mark E. Schaffer - Instrumental Variable Quantile Regression (RePEc:arx:papers:2009.00436)
by Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich - Inference for Low-Rank Models (RePEc:arx:papers:2107.02602)
by Victor Chernozhukov & Christian Hansen & Yuan Liao & Yinchu Zhu - pystacked: Stacking generalization and machine learning in Stata (RePEc:arx:papers:2208.10896)
by Achim Ahrens & Christian B. Hansen & Mark E. Schaffer - ddml: Double/debiased machine learning in Stata (RePEc:arx:papers:2301.09397)
by Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann - Post-selection and post-regularization inference in linear models with many controls and instruments (RePEc:azt:cemmap:02/15)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - A lava attack on the recovery of sums of dense and sparse signals (RePEc:azt:cemmap:05/15)
by Victor Chernozhukov & Christian Hansen & Yuan Liao - Inference on treatment effects after selection amongst high-dimensional controls (RePEc:azt:cemmap:10/12)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Program evaluation and causal inference with high-dimensional data (RePEc:azt:cemmap:13/16)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Quantile models with endogeneity (RePEc:azt:cemmap:25/13)
by Victor Chernozhukov & Christian Hansen - Inference on treatment effects after selection amongst high-dimensional controls (RePEc:azt:cemmap:26/13)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Double/debiased machine learning for treatment and structural parameters (RePEc:azt:cemmap:28/17)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins - Program evaluation with high-dimensional data (RePEc:azt:cemmap:33/14)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Valid post-selection and post-regularization inference: An elementary, general approach (RePEc:azt:cemmap:36/16)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - hdm: High-Dimensional Metrics (RePEc:azt:cemmap:37/16)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Estimation of treatment effects with high-dimensional controls (RePEc:azt:cemmap:42/11)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Double machine learning for treatment and causal parameters (RePEc:azt:cemmap:49/16)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey - Inference in high dimensional panel models with an application to gun control (RePEc:azt:cemmap:50/14)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Damian Kozbur - Program evaluation with high-dimensional data (RePEc:azt:cemmap:55/15)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - A lava attack on the recovery of sums of dense and sparse signals (RePEc:azt:cemmap:56/15)
by Victor Chernozhukov & Christian Hansen & Yuan Liao - Program evaluation with high-dimensional data (RePEc:azt:cemmap:57/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - High dimensional methods and inference on structural and treatment effects (RePEc:azt:cemmap:59/13)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Simultaneous confidence intervals for high-dimensional linear models with many endogenous variables (RePEc:azt:cemmap:63/17)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Whitney K. Newey - Program evaluation with high-dimensional data (RePEc:azt:cemmap:77/13)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Visualization, Identification, and Estimation in the Linear Panel Event Study Design (RePEc:bdm:wpaper:2022-07)
by Freyaldenhoven Simon & Hansen Christian & Pérez Pérez Jorge & Shapiro Jesse M. - Estimation With Many Instrumental Variables (RePEc:bes:jnlbes:v:26:y:2008:p:398-422)
by Hansen, Christian & Hausman, Jerry & Newey, Whitney - A Penalty Function Approach to Bias Reduction in Nonlinear Panel Models with Fixed Effects (RePEc:bes:jnlbes:v:27:i:2:y:2009:p:131-148)
by Bester, C. Alan & Hansen, Christian - Identification of Marginal Effects in a Nonparametric Correlated Random Effects Model (RePEc:bes:jnlbes:v:27:i:2:y:2009:p:235-250)
by Bester, C. Alan & Hansen, Christian - Instrumental Variables Estimation With Flexible Distributions (RePEc:bes:jnlbes:v:28:i:1:y:2010:p:13-25)
by Hansen, Christian & McDonald, James B. & Newey, Whitney K. - Inference with Dependent Data in Accounting and Finance Applications (RePEc:bla:joares:v:56:y:2018:i:4:p:1139-1203)
by Timothy Conley & Silvia Gonçalves & Christian Hansen - LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation (RePEc:boc:bocode:s458458)
by Achim Ahrens & Christian B. Hansen & Mark E Schaffer - PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference (RePEc:boc:bocode:s458459)
by Achim Ahrens & Christian B. Hansen & Mark E Schaffer - XTEVENT: Stata module to estimate and visualize linear panel event-study models (RePEc:boc:bocode:s458987)
by Simon Freyaldenhoven & Christian Hansen & Jorge Eduardo Perez Perez & Jesse Shapiro - PYSTACKED: Stata module for stacking generalization and machine learning in Stata (RePEc:boc:bocode:s459115)
by Achim Ahrens & Christian B. Hansen & Mark E Schaffer - DDML: Stata module for Double/Debiased Machine Learning (RePEc:boc:bocode:s459175)
by Achim Ahrens & Christian B. Hansen & Mark E Schaffer & Thomas Wiemann - pystacked: Stacking generalization and machine learning in Stata (RePEc:boc:csug22:01)
by Christian B. Hansen & Mark E. Schaffer & Achim Ahrens - ddml: Double/debiased machine learning in Stata (RePEc:boc:csug22:02)
by Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann & Achim Ahrens - pystacked and ddml: machine learning for prediction and causal inference in Stata (RePEc:boc:lsug23:12)
by Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann - LASSOPACK and PDSLASSO: Prediction, model selection and causal inference with regularized regression (RePEc:boc:usug18:12)
by Achim Ahrens & Christian B Hansen & Mark E Schaffer - xtevent: Estimation and visualization in the linear panel event-study design (RePEc:boc:usug25:03)
by Jorge Pérez Pérez & Jesse M. Shapiro & Christian B. Hansen & Simon Freyaldenhoven & Constantino Carreto - Admissible Invariant Similar Tests For Instrumental Variables Regression (RePEc:cup:etheor:v:25:y:2009:i:03:p:806-818_09)
by Chernozhukov, Victor & Hansen, Christian & Jansson, Michael - FIXED-b ASYMPTOTICS FOR SPATIALLY DEPENDENT ROBUST NONPARAMETRIC COVARIANCE MATRIX ESTIMATORS (RePEc:cup:etheor:v:32:y:2016:i:01:p:154-186_00)
by Bester, C. Alan & Conley, Timothy G. & Hansen, Christian B. & Vogelsang, Timothy J. - The Factor-Lasso And K-Step Bootstrap Approach For Inference In High-Dimensional Economic Applications (RePEc:cup:etheor:v:35:y:2019:i:03:p:465-509_00)
by Hansen, Christian & Liao, Yuan - An IV Model of Quantile Treatment Effects (RePEc:ecm:emetrp:v:73:y:2005:i:1:p:245-261)
by Victor Chernozhukov & Christian Hansen - Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain (RePEc:ecm:emetrp:v:80:y:2012:i:6:p:2369-2429)
by A. Belloni & D. Chen & V. Chernozhukov & C. Hansen - Finite-Sample Inference Methods for Quantile Regression Models (RePEc:ecm:nawm04:393)
by Christian Hansen & Victor Chernozhukov - The reduced form: A simple approach to inference with weak instruments (RePEc:eee:ecolet:v:100:y:2008:i:1:p:68-71)
by Chernozhukov, Victor & Hansen, Christian - Inference approaches for instrumental variable quantile regression (RePEc:eee:ecolet:v:95:y:2007:i:2:p:272-277)
by Chernozhukov, Victor & Hansen, Christian & Jansson, Michael - Instrumental quantile regression inference for structural and treatment effect models (RePEc:eee:econom:v:132:y:2006:i:2:p:491-525)
by Chernozhukov, Victor & Hansen, Christian - Generalized least squares inference in panel and multilevel models with serial correlation and fixed effects (RePEc:eee:econom:v:140:y:2007:i:2:p:670-694)
by Hansen, Christian B. - Asymptotic properties of a robust variance matrix estimator for panel data when T is large (RePEc:eee:econom:v:141:y:2007:i:2:p:597-620)
by Hansen, Christian B. - Instrumental variable quantile regression: A robust inference approach (RePEc:eee:econom:v:142:y:2008:i:1:p:379-398)
by Chernozhukov, Victor & Hansen, Christian - A semi-parametric Bayesian approach to the instrumental variable problem (RePEc:eee:econom:v:144:y:2008:i:1:p:276-305)
by Conley, Timothy G. & Hansen, Christian B. & McCulloch, Robert E. & Rossi, Peter E. - Finite sample inference for quantile regression models (RePEc:eee:econom:v:152:y:2009:i:2:p:93-103)
by Chernozhukov, Victor & Hansen, Christian & Jansson, Michael - Inference with dependent data using cluster covariance estimators (RePEc:eee:econom:v:165:y:2011:i:2:p:137-151)
by Bester, C. Alan & Conley, Timothy G. & Hansen, Christian B. - Instrumental variables estimation with many weak instruments using regularized JIVE (RePEc:eee:econom:v:182:y:2014:i:2:p:290-308)
by Hansen, Christian & Kozbur, Damian - Grouped effects estimators in fixed effects models (RePEc:eee:econom:v:190:y:2016:i:1:p:197-208)
by Bester, C. Alan & Hansen, Christian B. - High-dimensional linear models with many endogenous variables (RePEc:eee:econom:v:228:y:2022:i:1:p:4-26)
by Belloni, Alexandre & Hansen, Christian & Newey, Whitney - Pre-event Trends in the Panel Event-study Design (RePEc:fip:fedpwp:19-27)
by Simon Freyaldenhoven & Christian Hansen & Jesse Shapiro - Visualization, Identification, and stimation in the Linear Panel Event-Study Design (RePEc:fip:fedpwp:93518)
by Simon Freyaldenhoven & Christian Hansen & Jorge Perez Perez & Jesse Shapiro - Post-selection and post-regularization inference in linear models with many controls and instruments (RePEc:ifs:cemmap:02/15)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - A lava attack on the recovery of sums of dense and sparse signals (RePEc:ifs:cemmap:05/15)
by Victor Chernozhukov & Christian Hansen & Yuan Liao - Inference on treatment effects after selection amongst high-dimensional controls (RePEc:ifs:cemmap:10/12)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Program evaluation and causal inference with high-dimensional data (RePEc:ifs:cemmap:13/16)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Estimation with many instrumental variables (RePEc:ifs:cemmap:19/06)
by Christian Hansen & Jerry Hausman & Whitney K. Newey - Instrumental variables estimation with flexible distribution (RePEc:ifs:cemmap:21/07)
by Christian Hansen & James B. McDonald & Whitney K. Newey - Quantile models with endogeneity (RePEc:ifs:cemmap:25/13)
by Victor Chernozhukov & Christian Hansen - Inference on treatment effects after selection amongst high-dimensional controls (RePEc:ifs:cemmap:26/13)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Double/debiased machine learning for treatment and structural parameters (RePEc:ifs:cemmap:28/17)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins - Sparse models and methods for optimal instruments with an application to eminent domain (RePEc:ifs:cemmap:31/10)
by Alexandre Belloni & D. Chen & Victor Chernozhukov & Christian Hansen - Inference for heterogeneous effects using low-rank estimations (RePEc:ifs:cemmap:31/19)
by Victor Chernozhukov & Christian Hansen & Yuan Liao & Yinchu Zhu - Program evaluation with high-dimensional data (RePEc:ifs:cemmap:33/14)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - High-dimensional econometrics and regularized GMM (RePEc:ifs:cemmap:35/18)
by Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato - Valid post-selection and post-regularization inference: An elementary, general approach (RePEc:ifs:cemmap:36/16)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - hdm: High-Dimensional Metrics (RePEc:ifs:cemmap:37/16)
by Victor Chernozhukov & Christian Hansen & Martin Spindler - Inference for high-dimensional sparse econometric models (RePEc:ifs:cemmap:41/11)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Estimation of treatment effects with high-dimensional controls (RePEc:ifs:cemmap:42/11)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Double machine learning for treatment and causal parameters (RePEc:ifs:cemmap:49/16)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey - Inference in high dimensional panel models with an application to gun control (RePEc:ifs:cemmap:50/14)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Damian Kozbur - Program evaluation with high-dimensional data (RePEc:ifs:cemmap:55/15)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - A lava attack on the recovery of sums of dense and sparse signals (RePEc:ifs:cemmap:56/15)
by Victor Chernozhukov & Christian Hansen & Yuan Liao - Program evaluation with high-dimensional data (RePEc:ifs:cemmap:57/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - High dimensional methods and inference on structural and treatment effects (RePEc:ifs:cemmap:59/13)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - Simultaneous confidence intervals for high-dimensional linear models with many endogenous variables (RePEc:ifs:cemmap:63/17)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Whitney K. Newey - Program evaluation with high-dimensional data (RePEc:ifs:cemmap:77/13)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - lassopack: Model Selection and Prediction with Regularized Regression in Stata (RePEc:iza:izadps:dp12081)
by Ahrens, Achim & Hansen, Christian B. & Schaffer, Mark E - ddml: Double/Debiased Machine Learning in Stata (RePEc:iza:izadps:dp15963)
by Ahrens, Achim & Hansen, Christian B. & Schaffer, Mark E & Wiemann, Thomas - Double/Debiased Machine Learning for Treatment and Structural Parameters (RePEc:nbr:nberwo:23564)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins - Pre-event Trends in the Panel Event-study Design (RePEc:nbr:nberwo:24565)
by Simon Freyaldenhoven & Christian Hansen & Jesse M. Shapiro - Visualization, Identification, and Estimation in the Linear Panel Event-Study Design (RePEc:nbr:nberwo:29170)
by Simon Freyaldenhoven & Christian Hansen & Jorge Pérez Pérez & Jesse M. Shapiro - Inference on Treatment Effects after Selection among High-Dimensional Controls†(RePEc:oup:restud:v:81:y:2014:i:2:p:608-650)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen - The Factor-Lasso and K-Step Bootstrap Approach for Inference in High-Dimensional Economic Applications (RePEc:pra:mprapa:75313)
by Hansen, Christian & Liao, Yuan - The Factor-Lasso and K-Step Bootstrap Approach for Inference in High-Dimensional Economic Applications (RePEc:rut:rutres:201610)
by Christian Hansen & Yuan Liao - Inference in High-Dimensional Panel Models With an Application to Gun Control (RePEc:taf:jnlbes:v:34:y:2016:i:4:p:590-605)
by Alexandre Belloni & Victor Chernozhukov & Christian Hansen & Damian Kozbur - Targeted Undersmoothing: Sensitivity Analysis for Sparse Estimators (RePEc:tpr:restat:v:105:y:2023:i:1:p:101-112)
by Christian Hansen & Damian Kozbur & Sanjog Misra - The Effects of 401(K) Participation on the Wealth Distribution: An Instrumental Quantile Regression Analysis (RePEc:tpr:restat:v:86:y:2004:i:3:p:735-751)
by Victor Chernozhukov & Christian Hansen - Plausibly Exogenous (RePEc:tpr:restat:v:94:y:2012:i:1:p:260-272)
by Timothy G. Conley & Christian B. Hansen & Peter E. Rossi - lassopack: Model selection and prediction with regularized regression in Stata (RePEc:tsj:stataj:v:20:y:2020:i:1:p:176-235)
by Achim Ahrens & Christian B. Hansen & Mark E. Schaffer - pystacked: Stacking generalization and machine learning in Stata (RePEc:tsj:stataj:v:23:y:2023:i:4:p:909-931)
by Achim Ahrens & Christian B. Hansen & Mark E. Schaffer - ddml: Double/debiased machine learning in Stata (RePEc:tsj:stataj:v:24:y:2024:i:1:p:3-45)
by Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann - xtevent: Estimation and visualization in the linear panel event-study designJournal: Stata Journal (RePEc:tsj:stataj:v:25:y:2025:i:1:p:97-135)
by Simon Freyaldenhoven & Christian B. Hansen & Jorge Pérez Pérez & Jesse M. Shapiro & Constantino Carreto - Program Evaluation and Causal Inference With High‐Dimensional Data (RePEc:wly:emetrp:v:85:y:2017:i::p:233-298)
by A. Belloni & V. Chernozhukov & I. Fernández‐Val & C. Hansen - Double/debiased machine learning for treatment and structural parameters (RePEc:wly:emjrnl:v:21:y:2018:i:1:p:c1-c68)
by Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins - Some Flexible Parametric Models for Partially Adaptive Estimators of Econometric Models (RePEc:zbw:ifwedp:5527)
by Theodossiou, Panayiotis & McDonald, James B. & Hansen, Christian B. - Some Flexible Parametric Models for Partially Adaptive Estimators of Econometric Models (RePEc:zbw:ifweej:5742)
by Theodossiou, Panayiotis & McDonald, James B. & Hansen, Christian B. - Targeted undersmoothing (RePEc:zur:econwp:282)
by Christian Hansen & Damian Kozbur & Sanjog Misra