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LASSO Methods for Gaussian Instrumental Variables Models
v1v2 (latest)

LASSO Methods for Gaussian Instrumental Variables Models

6 December 2010
A. Belloni
Victor Chernozhukov
Christian B. Hansen
ArXiv (abs)PDFHTML

Papers citing "LASSO Methods for Gaussian Instrumental Variables Models"

15 / 15 papers shown
Title
High-Dimensional Granger Causality Tests with an Application to VIX and
  News
High-Dimensional Granger Causality Tests with an Application to VIX and News
Andrii Babii
Eric Ghysels
Jonas Striaukas
46
106
0
13 Dec 2019
High-Dimensional Econometrics and Regularized GMM
High-Dimensional Econometrics and Regularized GMM
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Christian B. Hansen
Kengo Kato
97
67
0
05 Jun 2018
Debiased Machine Learning of Set-Identified Linear Models
Debiased Machine Learning of Set-Identified Linear Models
Vira Semenova
119
5
0
28 Dec 2017
Estimation and Inference on Heterogeneous Treatment Effects in
  High-Dimensional Dynamic Panels under Weak Dependence
Estimation and Inference on Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels under Weak Dependence
Vira Semenova
Matt Goldman
Victor Chernozhukov
Matt Taddy
CML
59
13
0
28 Dec 2017
A Flexible Framework for Hypothesis Testing in High-dimensions
A Flexible Framework for Hypothesis Testing in High-dimensions
Adel Javanmard
Jason D. Lee
87
29
0
26 Apr 2017
Estimation and Inference on Nonlinear and Heterogeneous Effects
Estimation and Inference on Nonlinear and Heterogeneous Effects
Marc Ratkovic
D. Tingley
44
11
0
16 Mar 2017
Confidence Bands for Coefficients in High Dimensional Linear Models with
  Error-in-variables
Confidence Bands for Coefficients in High Dimensional Linear Models with Error-in-variables
A. Belloni
Victor Chernozhukov
A. Kaul
90
18
0
01 Mar 2017
Linear Hypothesis Testing in Dense High-Dimensional Linear Models
Linear Hypothesis Testing in Dense High-Dimensional Linear Models
Yinchu Zhu
Jelena Bradic
175
86
0
10 Oct 2016
Uniformly Valid Post-Regularization Confidence Regions for Many
  Functional Parameters in Z-Estimation Framework
Uniformly Valid Post-Regularization Confidence Regions for Many Functional Parameters in Z-Estimation Framework
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Ying Wei
90
75
0
23 Dec 2015
Analysis of Testing-Based Forward Model Selection
Analysis of Testing-Based Forward Model Selection
Damian Kozbur
119
9
0
08 Dec 2015
Valid Post-Selection and Post-Regularization Inference: An Elementary,
  General Approach
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach
Victor Chernozhukov
Christian B. Hansen
Martin Spindler
238
176
0
14 Jan 2015
Program Evaluation and Causal Inference with High-Dimensional Data
Program Evaluation and Causal Inference with High-Dimensional Data
A. Belloni
Victor Chernozhukov
Iván Fernández-Val
Christian B. Hansen
CML
246
359
0
11 Nov 2013
Supplementary Appendix for "Inference on Treatment Effects After
  Selection Amongst High-Dimensional Controls"
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"
A. Belloni
Victor Chernozhukov
Christian B. Hansen
284
1,411
0
27 May 2013
Post-Selection Inference for Generalized Linear Models with Many
  Controls
Post-Selection Inference for Generalized Linear Models with Many Controls
A. Belloni
Victor Chernozhukov
Ying Wei
178
191
0
15 Apr 2013
Pivotal estimation via square-root Lasso in nonparametric regression
Pivotal estimation via square-root Lasso in nonparametric regression
A. Belloni
Victor Chernozhukov
Lie Wang
248
152
0
07 May 2011
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