High-dimensional linear models with many endogenous variables

High-dimensional linear models with many endogenous variables

Bibliographic Details
Main Authors:	Belloni, Alexandre (Author), Hansen, Christian (Author), Newey, Whitney (Author)
Format:	Article
Language:	English
Published:	Elsevier BV, 2022-08-29T18:44:20Z.
Subjects:	Article
Online Access:	Get fulltext

Similar Items

ALTERNATIVE ASYMPTOTICS AND THE PARTIALLY LINEAR MODEL WITH MANY REGRESSORS
by: Cattaneo, Matias D., et al.
Published: (2018)

GMM with Many Weak Moment Conditions
by: Newey, Whitney K., et al.
Published: (2010)

Instrumental variable estimation with heteroskedasticity and many instruments
by: Woutersen, Tiemen, et al.
Published: (2018)

Post-Selection Inference for Generalized Linear Models With Many Controls
by: Belloni, Alexandre, et al.
Published: (2018)

Inference in High-Dimensional Panel Models With an Application to Gun Control
by: Belloni, Alexandre, et al.
Published: (2018)

Nonparametric Instrumental Variables Estimation
by: Newey, Whitney K.
Published: (2013)

High-Dimensional Methods and Inference on Structural and Treatment Effects
by: Belloni, Alexandre, et al.
Published: (2015)

Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments
by: Hansen, Christian, et al.
Published: (2017)

High Dimensional Sparse Econometric Models: An Introduction
by: Belloni, Alexandre, et al.
Published: (2012)

Feature Screening for High-Dimensional Variable Selection In Generalized Linear Models
by: Jiang, Jinzhu
Published: (2021)

One-dimensional Fourier series of a function of many variables
by: Omar Dzagnidze
Published: (2017-08-01)

Testing overidentifying restrictions with many instruments and heteroskedasticity
by: Chao, John C., et al.
Published: (2017)

Least Squares After Model Selection in High-dimensional Sparse Models
by: Belloni, Alexandre, et al.
Published: (2012)

Grouped variable selection in high dimensional partially linear additive Cox model
by: Liu, Li
Published: (2010)

ℓ1-penalized quantile regression in high-dimensional sparse models
by: Belloni, Alexandre, et al.
Published: (2013)

ASYMPTOTIC DISTRIBUTION OF JIVE IN A HETEROSKEDASTIC IV REGRESSION WITH MANY INSTRUMENTS
by: Chao, John C., et al.
Published: (2013)

An Improved Forward Regression Variable Selection Algorithm for High-Dimensional Linear Regression Models
by: Yanxi Xie, et al.
Published: (2020-01-01)

Inference on Treatment Effects after Selection among High-Dimensional Controls
by: Chernozhukov, Victor V, et al.
Published: (2017)

ℓ[subscript 1]-penalized quantile regression in high-dimensional sparse models
by: Belloni, Alexandre, et al.
Published: (2013)

The Many Facets of Metzincins and Their Endogenous Inhibitors: Perspectives on Ovarian Cancer Progression
by: Ruth M. Escalona, et al.
Published: (2018-02-01)

Program Evaluation and Causal Inference With High-Dimensional Data
by: Belloni, Alberto, et al.
Published: (2018)

Quantile Models with Endogeneity
by: Chernozhukov, Victor V., et al.
Published: (2013)

M-estimation in high-dimensional linear model
by: Kai Wang, et al.
Published: (2018-08-01)

Stolarsky Means in Many Variables
by: Slavko Simić, et al.
Published: (2020-08-01)

Diophantine Equations in Many Variables
by: Dumke, Jan Henrik
Published: (2014)

Diophantine problems in many variables
by: Harvey, Michael
Published: (2010)

Conditional quantile processes based on series or many regressors
by: Belloni, Alexandre, et al.
Published: (2019)

Testing the drift-diffusion model
by: Fudenberg, Drew, et al.
Published: (2021)

Linear Groups with Many Profinitely Closed Subgroups
by: B.A.F. Wehrfritz
Published: (2017-06-01)

Statistical inference in high dimensional linear and AFT models
by: Chai, Hao
Published: (2014)

Robust linear model selection for high-dimensional datasets
by: Khan, Md Jafar Ahmed
Published: (2011)

High Dimensional Non-Linear Optimization of Molecular Models
by: Fogarty, Joseph C.
Published: (2014)

On valuations of polynomial rings of many variables
by: Inoue, Hiroshi
Published: (2017)

Variable selection for high dimensional transformation model
by: Lee, Wai Hong
Published: (2010)

Bayesian regression and discrimination with many variables
by: Chang, Kai-Ming
Published: (2002)

Prediction Models for Multi-dimensional Power-Performance Optimization on Many Cores
by: Shah, Ankur Savailal
Published: (2014)

Many-body phenomena in low-dimensional systems
by: You, Jhih-Shih, et al.
Published: (2015)

Specification testing and estimation using a generalized method of moments
by: Newey, Whitney K
Published: (2005)

Treatment Effects
by: Newey, Whitney K.
Published: (2010)

Variable Selection Using Nonlocal Priors in High-Dimensional Generalized Linear Models With Application to fMRI Data Analysis
by: Xuan Cao, et al.
Published: (2020-07-01)