Cover Image

Nonlinear Binscatter Methods

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cattaneo, Matias D., Crump, Richard K., Farrell, Max H., Feng, Yingjie
Format:	Preprint
Published:	2024
Subjects:	Methodology Econometrics Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Binscatter
by: Cattaneo, Matias D., et al.
Published: (2019)

Binscatter Regressions
by: Cattaneo, Matias D., et al.
Published: (2019)

Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators
by: Cattaneo, Matias D., et al.
Published: (2022)

Estimation and Inference in Boundary Discontinuity Designs: Distance-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025)

Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025)

Bootstrap-Assisted Inference for Generalized Grenander-type Estimators
by: Cattaneo, Matias D., et al.
Published: (2023)

Strong Approximations for Empirical Processes Indexed by Lipschitz Functions
by: Cattaneo, Matias D., et al.
Published: (2024)

The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
by: Cattaneo, Matias D., et al.
Published: (2025)

Robust Estimation and Inference for Categorical Data
by: Welz, Max
Published: (2024)

Uniform Estimation and Inference for Nonparametric Partitioning-Based M-Estimators
by: Cattaneo, Matias D., et al.
Published: (2024)

Estimation of High-dimensional Nonlinear Vector Autoregressive Models
by: Han, Yuefeng, et al.
Published: (2025)

An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences
by: Torous, William, et al.
Published: (2021)

On the Efficiency of Highly Stratified Experiments
by: Bai, Yuehao, et al.
Published: (2023)

Sequential Scoring Rule Evaluation for Forecast Method Selection
by: Frazier, David T., et al.
Published: (2025)

Conditional Influence Functions
by: Chernozhukov, Victor, et al.
Published: (2024)

Efficient Difference-in-Differences Estimation when Outcomes are Missing at Random
by: Testa, Lorenzo, et al.
Published: (2025)

Treatment Effect Heterogeneity in Regression Discontinuity Designs
by: Calonico, Sebastian, et al.
Published: (2025)

Estimation and Inference for CP Tensor Factor Models
by: Chen, Bin, et al.
Published: (2024)

Causal Interpretation of Regressions With Ranks
by: Lei, Lihua
Published: (2024)

Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
by: Oka, Tatsushi, et al.
Published: (2024)

Inference on Consensus Ranking of Distributions
by: Kaplan, David M.
Published: (2024)

Why you should also use OLS estimation of tail exponents
by: Santos, Thiago Trafane Oliveira, et al.
Published: (2024)

Covariate Adjustment in Randomized Experiments Motivated by Higher-Order Influence Functions
by: Zhao, Sihui, et al.
Published: (2024)

High Dimensional Factor Analysis with Weak Factors
by: Choi, Jungjun, et al.
Published: (2024)

Optimal testing in a class of nonregular models
by: Shimizu, Yuya, et al.
Published: (2024)

Inference for Synthetic Controls via Refined Placebo Tests
by: Lei, Lihua, et al.
Published: (2024)

On the modelling and prediction of high-dimensional functional time series
by: Chang, Jinyuan, et al.
Published: (2024)

Integrating Heterogeneous Information in Randomized Experiments: A Unified Calibration Framework
by: Ma, Wei, et al.
Published: (2026)

Beyond the Oracle Property: Adaptive LASSO in Cointegrating Regressions with Local-to-Unity Regressors
by: Reichold, Karsten, et al.
Published: (2025)

Statistically Significant Linear Regression Coefficients Solely Driven By Outliers In Finite-sample Inference
by: Reichel, Felix
Published: (2025)

A Test for Jumps in Metric-Space Conditional Means
by: Van Dijcke, David
Published: (2025)

Regression Model Selection Under General Conditions
by: Lusompa, Amaze
Published: (2025)

Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)

Modewise Additive Factor Model for Matrix Time Series
by: Chen, Elynn, et al.
Published: (2025)

Bias correction for Chatterjee's graph-based correlation coefficient
by: Azadkia, Mona, et al.
Published: (2025)

A Note on the Finite Sample Bias in Time Series Cross-Validation
by: Lusompa, Amaze
Published: (2025)

Learning What to Learn: Experimental Design when Combining Experimental with Observational Evidence
by: Epanomeritakis, Aristotelis, et al.
Published: (2025)

Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
by: Qu, Zhaonan, et al.
Published: (2021)

Cutting Feedback in Misspecified Copula Models
by: Smith, Michael Stanley, et al.
Published: (2023)

Evaluating Policy Effects under Network Interference without Network Information: A Transfer Learning Approach
by: Hoshino, Tadao
Published: (2025)