Cover Image

Kernel Choice Matters for Local Polynomial Density Estimators at Boundaries

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Imai, Shunsuke, Okamoto, Yuta
Format:	Preprint
Published:	2023
Subjects:	Econometrics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robustify and Tighten the Lee Bounds: A Sample Selection Model under Stochastic Monotonicity and Symmetry Assumptions
by: Okamoto, Yuta
Published: (2023)

Joint Inference for the Regression Discontinuity Effect and Its External Validity
by: Okamoto, Yuta
Published: (2025)

Accuracy of Uniform Inference on Fine Grid Points
by: Imai, Shunsuke
Published: (2025)

Joint Inference for the Regression Discontinuity Effect and Its External Validity
by: Yuta Okamoto
Published: (2026)

On Extrapolation of Treatment Effects in Multiple-Cutoff Regression Discontinuity Designs
by: Okamoto, Yuta, et al.
Published: (2024)

Difference-in-Differences with Interval Data
by: Kurisu, Daisuke, et al.
Published: (2025)

Lee Bounds for Random Objects
by: Kurisu, Daisuke, et al.
Published: (2026)

Doubly Robust Uniform Confidence Bands for Group-Time Conditional Average Treatment Effects in Difference-in-Differences
by: Imai, Shunsuke, et al.
Published: (2023)

Random sets from the perspective of metric statistics
by: Kurisu, Daisuke, et al.
Published: (2025)

Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs
by: Sawada, Masayuki, et al.
Published: (2024)

Dynamic Discrete-Continuous Choice Models: Identification and Conditional Choice Probability Estimation
by: Bruneel-Zupanc, Christophe
Published: (2025)

A Kernelization-Based Approach to Nonparametric Binary Choice Models
by: Yan, Guo
Published: (2024)

Local Polynomial Estimation of Time-Varying Parameters in Nonlinear Models
by: Kristensen, Dennis, et al.
Published: (2019)

Conditional Choice Probability Estimation of Dynamic Discrete Choice Models with 2-period Finite Dependence
by: Hao, Yu, et al.
Published: (2024)

Reinforcement Learning Based Computationally Efficient Conditional Choice Simulation Estimation of Dynamic Discrete Choice Models
by: Khwaja, Ahmed, et al.
Published: (2026)

Using SVM to Estimate and Predict Binary Choice Models
by: Chang, Yoosoon, et al.
Published: (2026)

Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models
by: Hetzenecker, Stephan, et al.
Published: (2024)

Identification and Estimation of Continuous-Time Dynamic Discrete Choice Games
by: Blevins, Jason R.
Published: (2025)

Semiparametric Estimation of Dynamic Binary Choice Panel Data Models
by: Ouyang, Fu, et al.
Published: (2022)

Sequential Estimation of Dynamic Discrete Choice Models with Unobserved Heterogeneity
by: Chen, Ertian, et al.
Published: (2026)

The Use of Binary Choice Forests to Model and Estimate Discrete Choices
by: Chen, Ningyuan, et al.
Published: (2019)

Slope Consistency of Quasi-Maximum Likelihood Estimator for Binary Choice Models
by: Chang, Yoosoon, et al.
Published: (2025)

Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks
by: Lu, Zhentong, et al.
Published: (2025)

Equilibrium-Constrained Estimation of Recursive Logit Choice Models
by: Tran, Hung, et al.
Published: (2025)

Leveraging Uniformization and Sparsity for Estimation and Computation of Continuous Time Dynamic Discrete Choice Games
by: Blevins, Jason R.
Published: (2024)

Estimating Individual Responses when Tomorrow Matters
by: Bonhomme, Stephane, et al.
Published: (2023)

Estimating Time-Varying Parameters of Various Smoothness in Linear Models via Kernel Regression
by: Nishi, Mikihito
Published: (2024)

Estimation of Integrated Volatility Functionals with Kernel Spot Volatility Estimators
by: Figueroa-López, José E., et al.
Published: (2024)

Semiparametric Discrete Choice Models for Bundles
by: Ouyang, Fu, et al.
Published: (2023)

Semiparametric Discrete Choice Models for Bundles
by: Ouyang, Fu, et al.
Published: (2023)

Optimal Policy Choices Under Uncertainty
by: Moon, Sarah
Published: (2025)

Estimator Averaging of Local Projection and VAR Impulse Responses
by: Chen, Chaoyi, et al.
Published: (2026)

Dimension Reduction for Conditional Density Estimation with Applications to High-Dimensional Causal Inference
by: Mei, Jianhua, et al.
Published: (2025)

Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data
by: Lee, Ji Hyung, et al.
Published: (2022)

Comment on "Generic machine learning inference on heterogeneous treatment effects in randomized experiments."
by: Imai, Kosuke, et al.
Published: (2025)

Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets
by: Singh, Amandeep, et al.
Published: (2023)

Sensitivity Analysis for Dynamic Discrete Choice Models
by: Lau, Chun Pong
Published: (2024)

Changes-in-Changes for Ordered Choice Models with Underreporting
by: Gutknecht, Daniel, et al.
Published: (2024)

Constrained Recursive Logit for Route Choice Analysis
by: Tran, Hung, et al.
Published: (2025)

Robust Bayes Treatment Choice with Partial Identification
by: Fernández, Andrés Aradillas, et al.
Published: (2024)